Saturday, December 26, 2020

Fronteiras indefinidas (uso ético da tecnologia)

nov24
Deepfake Technology has earned great attention because of its capability to deceive,
manipulate and fabricate certain content like images, audio, video and much more. The
term “deepfake” is a bifurcation of “deep learning”, a subset of Artificial Intelligence (AI)
and “fake” which denotes the synthetic or unreal nature of the content. With the use of this
technology, audio and video media can be altered to give the impression that someone has
said or done something they haven’t. This technology is flourishing on social media which
is harming children, women and other vulnerable users. This research explores the role of
deepfake technology in propagating misinformation or false information throughout the
web along with its potential results on public and social cohesion. Legal frameworks have
also been discussed in this research on how recent legislation responds to this
manipulation. This research also argues that the impact of deep fakes on society is extreme
and versatile, necessitating a coordinated response from governments, tech companies,
and civil society. By shedding light on these critical aspects, this research aims to
contribute to a better understanding of the impact of deepfake technology on social media
and to inform future efforts in detection, prevention, and policy development
The Ethics of Deepfakes: A Digital Age
Crisis
https://ijlsi.com/wp-content/uploads/The-Ethics-of-Deepfakes-A-Digital-Age-Crisis.pdf 


fev24
Several terms have been used interchangeably for AI clones: AI replica, agent, digital twin, persona, personality, avatar, or virtual human. AI clones for people who have died have been called thanabots, griefbots, deadbots, deathbots and ghostbots, but there is so far no uniform term that specifies AI clones of living people. Deepfake is the term used for when an AI-altered or -generated image is misused to deceive others or spread disinformation.

https://www.psychologytoday.com/us/blog/urban-survival/202401/the-psychological-effects-of-ai-clones-and-deepfakes

fev24
MORTOS

A once-feared army general, who ruled Indonesia with an iron fist for more than three decades, has a message for voters ahead of upcoming elections – from beyond the grave.

“I am Suharto, the second president of Indonesia,” the former general says in a three-minute video that has racked up more than 4.7 million views on X and spread to TikTok, Facebook and YouTube.

While mildly convincing at first, it’s clear that the stern-looking man in the video isn’t the former Indonesian president. The real Suharto, dubbed the “Smiling General” because he was always seen smiling despite his ruthless leadership style, died in 2008 at age 86.

The video was an AI-generated deepfake, created using tools that cloned Suharto’s face and voice. “The video was made to remind us how important our votes are in the upcoming election,” said Erwin Aksa, deputy chairman of Golkar – one of Indonesia’s largest and oldest political parties. He first shared the video on X ahead of February 14 elections.~

https://edition.cnn.com/2024/02/12/asia/suharto-deepfake-ai-scam-indonesia-election-hnk-intl/index.html



jan24

Ethical Problems of the Use of Deepfakes in the Arts and Culture

  • Accesses

Part of the The International Library of Ethics, Law and Technology book series (ELTE,volume 41)

Abstract

Deepfakes are highly realistic, albeit fake, audiovisual contents created with AI. This technology allows the use of deceptive audiovisual material that can impersonate someone’s identity to erode their reputation or manipulate the audience. Deepfakes are also one of the applications of AI that can be used in cultural industries and even to produce works of art. On the one hand, it is important to clarify whether deepfakes in arts and culture are free from the ethical dangers mentioned above. On the other hand, there are specific ethical issues in this field of application. Deepfake technologies can be used to include the performance of deceased persons in audiovisual materials for the dissemination of cultural heritage, and to generate images or sounds in the style of real authors, but deepfakes are also potentially misleading by blurring the boundary between artwork and reality, and raise questions about the relationship between technology, artificial creativity and authorship. The answer to these problems requires an analysis of the normative foundations of copyright to accommodate the new role of AI.
https://link.springer.com/chapter/10.1007/978-3-031-48135-2_7

dez23

A China está a testar uma forma de recordar quem já morreu e prolongar o momento da despedida. A inteligência artificial (IA) foi a forma que várias empresas do país encontraram para ajudar pais, filhos, companheiros, avós e netos a lidar com a perda inesperada de um familiar. Os griefbots (bots do luto, em tradução literal) são cada vez mais procurados.

https://www.publico.pt/2023/12/29/p3/noticia/china-ia-ressuscita-mortos-ultimo-adeus-sao-griefbots-2075194


set23

The Routledge Handbook of Philosophy and Media Ethics


https://books.google.pt/books?hl=en&lr=lang_en&id=1p3XEAAAQBAJ&oi=fnd&pg=PT495&dq=Deepfakes&ots=G8g9P1NhNm&sig=llZdHoQYuJuUT4-f7Kt2lqH3pTs&redir_esc=y#v=onepage&q=Deepfakes&f=false


set23

A atriz pornô brasileira Elisa Sanches, 42, fez um testamento e registrou em cartório seu desejo de proibir que sua imagem seja usada em vídeos de deepfake após sua morte.

Elisa recorreu a essa medida após descobrir que seu rosto estava sendo usado em vídeos pornográficos que não foram protagonizados por ela, mas que foram fruto de inteligência artificial. Ao Extra, ela explicou que isso lhe deixou preocupada com o uso de sua imagem quando não estiver mais viva.
https://www.uol.com.br/splash/noticias/2023/09/10/icone-do-porno-atriz-registra-testamento-para-evitar-deepfake-apos-morte.htm



jul23 MORTOS

Elis Regina aparece cantando ao lado da filha Maria Rita em campanhafeita com inteligência artificial

https://g1.globo.com/economia/midia-e-marketing/noticia/2023/07/04/elis-regina-aparece-cantando-ao-lado-da-filha-maria-rita-em-campanha-da-volkswagen-feita-com-inteligencia-artificial.ghtml
https://www.youtube.com/watch?v=U1jPJ5FKEwg
https://www.youtube.com/watch?v=aMl54-kqphE

mai23

Death is no longer the end of an actor’s career, Tom Hanks theorized during a recent conversation on “The Adam Buxton Podcast” (via BBC). Why? Artificial intelligence and deepfakes, the actor said. Both technologies will be on full display at the Cannes Film Festival thanks to the world premiere of “Indiana Jones and the Dial of Destiny,” which used AI to help de-age Harrison Ford so that he resembles his appearance from 1981’s “Raiders of the Lost Ark.”

“The first time we did a movie that had a huge amount of our own data locked in a computer — literally what we looked like — was a movie called ‘The Polar Express,'” Hanks said, referring to Robert Zemeckis’ 2004 Christmas movie. “We saw this coming, we saw that there was going to be this ability to take zeros and ones from inside a computer and turn it into a face and a character. That has only grown a billion-fold since then and we see it everywhere.”

https://variety.com/2023/film/news/tom-hanks-act-death-ai-deepfakes-1235614391/


abr23

To investigate this, the team turned their attention to two common and potentially lethal social problems – drunk driving and domestic violence, real-life issues often targeted by social policy changes and activism efforts. Lu and Chu wanted to see how public service announcements that showed deepfakes of deceased victims of drunk driving and domestic violence would impact viewers as they narrated the stories of their deaths. 

“The prosocial deepfakes investigated in the current study take the form of deepfake resurrection”, the authors explained in the paper, “which features a dead victim who is brought back to life with deepfakes that enable this victim to advocate for an issue related to the cause of their death.”

https://www.iflscience.com/dying-to-tell-you-deepfake-resurrections-to-promote-public-good-explored-by-researchers-68592

ab23

AI and Human Rights: A Critical Ethico-Legal Overview

Vikrant Sopan Yadav*

Abstract: The capabilities of artificial intelligence (AI) in ensuring human rights are tremendous. However, it may also have some denting effect on human rights. The use of AI-based surveillance, face detection, etc. has proved racially discriminatory, resulting in grave human rights violations. AI experts have also admitted to the possibility of developers' bias resulting in biased AI inventions. This research article is an attempt to analyze the possible adverse impact of AI technology on the protection of human rights. The author has done an analytical overview of practical instances of AI-related human rights violations in the recent past. An empirical analysis comprising of an observation tool was employed to observe and analyze the expert opinion expressed during a conference. Based on doctrinal and empirical analysis, the author has made some recommendations, such as including technology-related human rights in national and international human rights statutes, to strike a balance between human rights and AI innovation, with the ultimate goal of protecting human rights.

(em arquivo)

ab23

Ariana Grande canta Anitta? Inteligência artificial cria deepfakes musicais e viraliza nas redes

https://epocanegocios.globo.com/tecnologia/noticia/2023/04/ariana-grande-canta-anitta-inteligencia-artificial-cria-deepfakes-musicais-e-viraliza-nas-redes.ghtml

mar23

MORTOS

Let the dead talk: How deepfake resurrection narratives influence audience response in prosocial contexts

With the unceasing advancement of novel digital technologies, artificial intelligence (AI) is projected to change and challenge established social dynamics. As such, a deeper understanding of AI and its impacts will prove to be crucial in an AI-enriched world. In the current study, we focus on an emerging AI-based technology, deepfakes, and investigate the effects of a lesser-known use of deepfakes (i.e., using deepfakes for prosocial purposes). Specifically, we examine the impacts of exposure to a “deepfake resurrection” narrative on individuals' policy support and activism intentions in two contexts (i.e., drunk driving and domestic violence). We conducted a between-subjects experiment (N = 1990) that varied in the use (vs. non-use) of deepfakes and tested four psychological processes related to the effects of deepfake resurrection narratives. While the moderating role of point of view and the mediating role of perceived desecration of the dead did not receive much support, the narrative-based and the surprise-focused mediational pathways were shown to be important mechanisms of deepfake resurrection narratives. Finally, we reflect on the potential of prosocial deepfakes and deepfake resurrection narratives and discuss the findings’ relevance to both theory and practice.
https://www.sciencedirect.com/science/article/abs/pii/S0747563223001127

  dez22

A small academic and corporate team of researchers say they have created a way to preserve the biometric privacy of people whose faces are posted on social media.

And while that innovation is worthy of examination, so is a couple phrases that the team has developed for their facial anonymization: “a responsible use for deepfakes by design” and “My Face, My Choice.”

For most people, deepfakes exist because humans like to be fooled. For the rest, they exist to dominate a future when objective proof or truth no longer exist.

Two scientists from State University of New York, Binghamton, and another from Intel Labs say in a non-peer-reviewed paper that they recognize the identity and privacy dangers posed by face image scrapers like Clearview AI that harvest billions of faces for their own purposes and without permission.

The answer, they say, is qualitatively dissimilar deepfakes. That is, using deepfake algorithms to alter faces just enough that the faces cannot be facially recognized by software. The result is a facial image in a group photo that is true enough to the original (and free of AI weirdness) that anyone familiar with a person would quickly accept it as representative.

The researchers also have proposed metrics for doing this under which a deepfake (though, again, still recognizable by many humans) is randomly generated with a guaranteed dissimilarity.

https://www.biometricupdate.com/202212/a-proposal-for-responsible-deepfakes


dez22

At a glance, the above three images look just like me. Look closer and you might notice that my skin is too smooth, my clothes distorted in places — details that might be dismissed as an overdone Photoshop edit.

Thing is, I never posed for these pictures. Nor have I ever sported shoulder-length hair or a cowboy hat, for that matter. These images are entirely the product of artificial intelligence, utilizing a cutting-edge technology developed by Google scientists called DreamBooth.

Since its release in late August, DreamBooth has already advanced the field of AI art by leaps and bounds. In a nutshell, it gives AI the ability to study what individuals or objects look like, then synthesizes a “photorealistic” image of the subject in a completely new context.

https://www.thestar.com/business/technology/2022/12/01/these-ai-images-look-just-like-me-what-does-that-mean-for-the-future-of-deepfakes.html

novv22

ETHICAL AND SOCIAL RESPONSIBILITY FOR USING DEEPFAKES

AS Nypadymka, LM Safiullina - Publishing House “Baltija …, 2022 - baltijapublishing.lv
For years, brands and platforms have worked to adapt consumers to the idea of purchasing
something they haven't seen, tasted, or tried on. The recent invention and improvement of
deepfake technology can change communication between companies and consumers. But
before considering all the possibilities of using the latest marketing techniques, we should
define the meaning of the word―deepfake‖. According to Merriam-Webster Dictionary, a
deepfake is―an image or recording that has been convincingly altered and manipulated to …
https://scholar.google.pt/scholar?q=ETHICAL+AND+SOCIAL+RESPONSIBILITY+FOR+USING+DEEPFAKES&hl=pt-PT&as_sdt=0&as_vis=1&oi=scholart


september 22

This hints at a far wider debate in the world of deepfakes – that of ethics. If it’s now possible to create a fake but lifelike version of anyone else using technology, aren’t there huge implications for fraud, identify and intellectual property theft and all kinds of exploitation, from financial to sexual? Graham says that the technology comes with responsibility and that Metaphysic has a “big focus” on ethics and – in particular – consent. The rule, he says, must be that individuals own and control their own hyperreal likeness, meaning they also own and control the data involved in training and creating that likeness. 

In other words, people must have complete control over their digital DNA. Metaphysic has launched a platform called Every Anyone which enables individuals to own their own data when they interact with third party companies who operate in the metaverse. “Ultimately I believe that biometric data that represents us as individuals will be regulated [by governments],” Graham says. Which, for avoidance of doubt, would be a good thing.

https://www.telegraph.co.uk/tv/0/tom-cruise-americas-got-talent-deepfakes-future-entertainment/

out22

Deepfakes’ of Celebrities Have Begun Appearing in Ads, With or Without Their Permission

Digital simulations of Elon Musk, Tom Cruise, Leo DiCaprio and others have shown up in ads, as the image-melding technology grows more popular and presents the marketing industry with new legal and ethical questions


https://www.wsj.com/articles/deepfakes-of-celebrities-have-begun-appearing-in-ads-with-or-without-their-permission-11666692003




out22

“Stunning and creepy…I gotta learn this”: Exploring Concepts of Information Ethics in Deepfake Creation Tutorials on YouTube

https://iopn.library.illinois.edu/journals/aliseacp/article/view/1009

out22

MORTOS
Uma empresa de inteligência artificial usou técnicas de deepfake para permitir que "Steve Jobs" (ou uma versão digital dele) concedesse uma entrevista a um podcast. O objetivo da iniciativa foi revelar como é possível criar sons tão realísticos quanto as fotos e vídeos criados com as ferramentas modernas.

O podcast foi criado pela Play.ht, empresa especializada na criação de ferramentas de geração de texto para voz com IA. O material fictício traz o falecido fundador da AppleSteve Jobs, sendo entrevistado pelo polêmico influenciador Joe Rogan — que teve110 episódios do podcast The Joe Rogan Experience excluídos recentemente, acusado de disseminar informações negacionistas sobre a pandemia de covid-19.

A voz de Jobs ainda parece meio estranha em alguns momentos, mas a IA consegue recriar as nuances da fala, o timbre e até o jeito de falar do ex-CEO da Maçã. A fala de Joe Rogan é mais realista, mas há muito mais materiais disponíveis atualmente do que de uma pessoa falecida há 11 anos.

Roteiro também foi criado por IA

Segundo a Play.ht, o roteiro foi totalmente criado pela inteligência, algo impressionante para um conteúdo sem intervenção humana. Aparentemente, a tecnologia é similar à usada em aplicativos de geração de vídeo e imagem a partir de roteiros, como o DALL-E

https://br.noticias.yahoo.com/deepfake-permite-que-steve-jobs-211200693.html


Out22

CINEMA
Jean-Luc Godard once claimed, regarding cinema, “When I die, it will be the end.” Godard passed away last month; film perseveres. Yet artificial intelligence has raised a kindred specter: that humans may go obsolete long before their artistic mediums do. Novels scribed by GPT-3art conjured by DALL·E—machines could be making art long after people are gone. Actors are not exempt. As deepfakes evolve, fears are mounting that future films, TV shows, and commercials may not need them at all.

https://www.wired.co.uk/article/bruce-willis-deepfake-rights-law


out22
Two recent events have brought the future of celebrity appearances to light — initial reports that Bruce Willis had sold his rights to a deepfake company, allowing his "digital twin" to appear in future projects, and confirmed reports that James Earl Jones’ signed over the rights to his voice recordings to an A.I. company to be used in future projects, including vocals for Darth Vader in Star Wars films and television series. While the reports about Willis are now denied by the actor, both reports showcase a fascinating move forward in technology, keeping beloved actors alive in future projects. A new Die Hard movie with a John McClane in his prime, or a Darth Vader series, for example. But is that a good thing? The short answer is no. However, the answer is more complex than a simple yes or no.
https://collider.com/deepfake-movies-tv-is-it-good-bruce-willis/


set22
MORTOS
The moral questions raised by synthetic media are considered in the context of posthumous documentary biography. Two possibilities are explored: firstly, that synthesis of the voice in biographical documentary deceives in a distinctive way and secondly, that it is possible for synthetic media to harm the subject of posthumous documentary.
https://www.tandfonline.com/doi/abs/10.1080/23736992.2022.2118124

ag22
Technologies can have profound effects on social moral systems. Is there any way to systematically investigate and anticipate these potential effects? This paper aims to contribute to this emerging field on inquiry through a case study method. It focuses on two core human values—truth and trust—describes their structural properties and conceptualisations, and then considers various mechanisms through which technology is changing and can change our perspective on those values. In brief, the paper argues that technology is transforming these values by changing the costs/benefits of accessing them; allowing us to substitute those values for other, closely-related ones; increasing their perceived scarcity/abundance; and disrupting traditional value-gatekeepers. This has implications for how we study other, technologically-mediated, value changes.
https://link.springer.com/article/10.1007/s10676-022-09661-y


ag22

new open source AI image generator capable of producing realistic pictures from any text prompt has seen stunningly swift uptake in its first week. Stability AI’s Stable Diffusion, high fidelity but capable of being run on off-the-shelf consumer hardware, is now in use by art generator services like Artbreeder, Pixelz.ai and more. But the model’s unfiltered nature means not all the use has been completely above board.

For the most part, the use cases have been above board. For example, NovelAI has been experimenting with Stable Diffusion to produce art that can accompany the AI-generated stories created by users on its platform. Midjourney has launched a beta that taps Stable Diffusion for greater photorealism.

But Stable Diffusion has also been used for less savory purposes. On the infamous discussion board 4chan, where the model leaked early, several threads are dedicated to AI-generated art of nude celebrities and other forms of generated pornography.
https://techcrunch.com/2022/08/24/deepfakes-for-all-uncensored-ai-art-model-prompts-ethics-questions/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAEB8MT9qhdFSy9Jp-XYMLTFcuZTJcsDzzSG_qTmcldqUmOjaqM6v1t4SaXVmgv5Fp60MX_73QEd2yGo4l-PMaoP25in1nYO6xPWieV-DoH2afn_yy3H4aPhAfybnknFc1_zNOyrFZcxEX7C56O3M3Q1U9x1Wlw2VZCn1capTEODY


ag22
The Age of a Moral and Ethical Artificial Intelligence
Florina Bran1, Dumitru Alexandru Bodislav2, Mihaela Diana Negescu Oancea3 and Ana
Maria Bolohan4
1) 2)3) 4) The Bucharest University of Economic Studies, Bucharest, Romania.
E-mail: florinabran@yahoo.com; E-mail: alex.bodislav@ase.ro
E-mail: mihaela.oancea@cig.ase.ro; E-mail: anamaria.bolohan@gmail.com
Please cite this paper as:
Bran, F., Bodislav, D.A., Negescu Oancea, M.D. and Bolohan, A.M., 2022. The
Age of a Moral and Ethical Artificial Intelligence. In: R. Pamfilie, V.
Dinu, C. Vasiliu, D. Pleșea, L. Tăchiciu eds. 2022. 8th BASIQ International
Conference on New Trends in Sustainable Business and Consumption. Graz,
Austria, 25-27 May 2022. Bucharest: ASE, pp.73-78.
DOI: 10.24818/BASIQ/2022/08/008
Abstract
This paper provides an overview of today's values for building and using Artificial Intelligence in day-today
operations, but the focus of the research is on the judgment values developed to create a more moral
and ethical AI that is in line with today's macroeconomic needs and aims to achieve the goal of sustainable
economic development. This research follows the concept of a case study combined with a qualitative
research regarding our actual status quo in offering moral and ethical value to machines and to software
that could one day replace informal social institutions. Also, the main focus of this research paper is to
highlight if we could use or insert Artificial Intelligence as guidance tool to our general wellbeing and also
to empower automatization as mechanism for a sustainable future, because today’s automated corporate
governance is based on standardized processes for performance management, standardized processes for
advanced analysis.


jul22

os solicitantes fraudulentos de trabajos tecnológicos no son nada nuevo. En una publicación de LinkedIn de noviembre de 2020, un reclutador escribió que algunos candidatos contratan ayuda externa para apoyarlos durante las entrevistas en tiempo real y que la tendencia parece haber empeorado durante la pandemia.

Por ejemplo, varios headhunters descubrieron que en Corea del Norte, los estafadores se hacían pasar por entrevistados estadounidenses para las nuevas empresas de criptografía y Web3. A esto se le suma el uso de tecnología deepfake impulsada por Inteligencia Artificial (IA).

https://www.expoknews.com/es-etico-el-uso-de-deepfakes-para-solicitar-empleo/



jun22
MORTOS

Amazon executives say they want to give their Alexa voice assistant the ability to mimic any voice it is trained on for less than a minute.

The company is hitting hard on emotions, according to reporting by Reuters. A senior vice president is quoted saying Amazon was inspired to write the code because “so many of us have lost someone we love” to the pandemic.

Too much? The company that now wants to “make the memories last” showed promotional video at Amazon’s re:Mars conference of a child who says, “Alexa, can grandma finish reading me the Wizard of Oz?”

Sadly, no video evidence of that heart-warmer could be found online, maybe because more than one news site covering the conference found the development “creepy.”

https://www.biometricupdate.com/202206/grammy-said-i-could-stay-up-late-amazon-hints-at-deepfake-voices-as-family-bonding + https://tech.hindustantimes.com/tech/news/creepy-morbid-monstrosity-amazon-alexa-creeps-out-internet-with-voices-of-the-dead-71656065304512.html

jul23

Los Angeles-based video editor and political satirist Justin T. Brown has found himself at the center of a contentious debate thanks to his AI-generated images that portray prominent politicians such as Donald Trump, Barack Obama, and Joe Biden engaged in fictional infidelities.

His provocative series, christened “AI will revolutionize the blackmail industry,” quickly came under fire, leading to Brown’s banishment from the Midjourney AI art platform, which he used to generate the pictures.

Brown said the images were envisioned as a stark warning about the potential misuse of artificial intelligence.

https://finance.yahoo.com/news/political-satirist-slammed-creating-deepfakes-120103536.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAHFVDjMw8auK-p7Cz-o9pfgphkACHGyxpSL2oH3LZFHknvARRstLWDkJ2cSZ4rXvelzrYQuSakE-3z7iQQjzkMmienY7LfR8AvCQkt5p_XMUd1MayU1yDy-1ukpkNuZZaeoKyMvoJkjhtG2AckFPousHDLjvLcBYdBoFvtmd82wZ


Jn22

MORTOS

Thai creative agency Rabbit’s Tale has created a touching new campaign film for Five Star Chicken restaurant chain in Thailand called “Quality time, again” which highlights a memorable meal that people have had with their now-departed loved ones.

The campaign includes a five-minute film featuring a woman remembering her mother, who passed away following a difficult battle with cancer in 2010.

https://www.brandinginasia.com/campaign-uses-deepfake-technology-to-allow-daughter-to-have-another-meal-with-deceased-mom/



mai22

The unethical use of deepfakes
Audrey de Rancourt-Raymond, Nadia Smaili


Journal of Financial Crime

ISSN: 1359-0790

Article publication date: 19 May 2022
The purpose of this study is to discuss the harmful use of deepfakes in an organizational context, based on the only two cases the authors found that were addressed by the media from the perspective of corporate fraud. This study offers an overview of deepfake technology, and in particular, examines five W questions to better decipher the impact of these tools on organizations: What is deepfake? Who is the fraudster and who is targeted? Why use them and how? And What after? Based on these five W questions, this study provides an in-depth discussion of the two cases identified. Even though this technology has several advantages, this study examines its dark side.
https://www.emerald.com/insight/content/doi/10.1108/JFC-04-2022-0090/full/html


ab22
MORTOS

No comercial, o ator Eugenio Derbez (‘No Ritmo do Coração‘) assiste a TV e é surpreendido pelo anúncio com Chaves“Eugenio, continua me assistindo como quando era um menino?”, pergunta o Chavinho. Chaves? Claro, você tem me acompanhado por toda a vida”, responde Derbez.

De acordo com a Tilt, responsável pela produção, para produzir o vídeo não foi utilizado nenhum material gravado anteriormente por Chespirito, como Bolaños também era conhecido. A tecnologia permite modificar características faciais de forma realista, mesmo em movimento, com uma aplicação tridimensional em vídeos e fotos.

https://cinepop.com.br/chaves-reaparece-em-novo-comercial-de-streaming-atraves-de-deepfake-isso-isso-isso-341679/


ab22

Face swapping technology poses moral and ethical dilemmas

https://dailytitan.com/opinion/face-swapping-technology-poses-moral-and-ethical-dilemmas/article_52896152-b5ef-11ec-b798-ef1868a84d11.html 

mar22
de-aging
Thanks to deepfake technology, legendary cricketer, Sachin Tendulkar is featured in a new campaign – as an 11-year-old. The campaign, created by VMLY&R for Ageas Federal Life Insurance (AFLI) used custom DeepFake AI video regeneration technology to re-create a young Sachin. According to VMLY&R, this is the first time DeepFake AI video technology has been used in a campaign to de-age a person by over 35 years. Since there was very little training material to aid the AI, VMLY&R created a custom process that blended AI, CG, and live shoot to achieve the desired result. https://www.brandinginasia.com/an-11-year-old-sachin-tendulkar-speaks-from-the-past-thanks-to-deepfake-technology-in-new-campaign/


mar22

Deepfakes Can Help Families Mourn—or Exploit Their Grief.
Death holograms aren't inherently creepy. They're part of a lineage of grief technologies that stretches back to photography.
https://www.wired.com/story/deepfake-death-grief-hologram-photography-film/



fev22
Can a deepfake company be ethical?
https://qz.com/2123102/can-deepfakes-be-ethical/




fev22
ANONIMIZAR IMAGENS
C’est ce que propose de faire en quelques clics DeepPrivacy. Ce site permet de trafiquer rapidement une photo en lui appliquant les techniques d’IA utilisées par le deepfake. Le but n'est pas de faire ressembler un individu à quelqu’un d’autre, mais plutôt à personne d’autre… avec parfois quelques raté.
https://www.clubic.com/pro/legislation-loi-internet/donnees-personnelles/actualite-407073-deepprivacy-le-deepfake-pour-anonymiser-les-photos-et-pourquoi-pas.html

dez21
“morally neutral.

But Miles Fisher, best known for being the Tom Cruise deepfake guy, insists the tech behind it all is “morally neutral.”In a new interview with Today, Fisher—whose viral TikTok clips are made possible by visual effects specialist Chris Umé—reflected on the continued popularity of the @deeptomcruise account. At the time of this writing, the account had amassed more than 3.3 million followers, with the most recent clip arriving earlier this week. “I think the technology is morally neutral,” Fisher told Today when asked about the “potential threat” of deepfakes like his own around the 3:06 mark in the video up top. “As it develops, the positive output will so far outweigh the negative, nefarious uses.” Moving forward, per Fisher, the aim (including with the Umé-launched Metaphysic tech company) is to figure out how “identity rights” might work in the future. Using Cruise as an example, Fisher proposed a scenario in which “everyone” could receive compensation. “Let’s say Tom Cruise gave us the consent for this likeness, where we could move beyond just small parody clips,” he said. “Everybody gets paid for that intellectual property.” https://www.complex.com/pop-culture/tom-cruise-deepfake-actor-insists-controversial-tech-is-morally-neutral


dez21
OS OUVINTESS ABEM QUE É UM ROBÔ?

LOS ANGELES - Andy Chanley, the afternoon drive host at Southern California's public radio station 88.5 KCSN, has been a radio DJ for over 32 years. And now, thanks to artificial intelligence technology, his voice will live on simultaneously in many places. "I may be a robot, but I still love to rock," says the robot DJ named Andy, derived from Artificial Neural Disk-JockeY, in Chanley's voice, during a demonstration for Reuters where the voice was hard to distinguish from a human DJ. https://www.asiaone.com/digital/radio-dj-you-hear-might-already-be-robot


nov21
PEDAGOGIA OU RECUPERAR MORTOS?
https://canaltech.com.br/inteligencia-artificial/campanha-contra-feminicidio-usa-deep-fake-para-trazer-vitimas-de-volta-a-vida-202945/

nov21
For the past few years, my colleagues and I at UMass Boston’s Applied Ethics Center have been studying how everyday engagement with AI challenges the way people think about themselves and politics. We’ve found that AI has the potential to weaken people’s capacity to make ordinary judgments. We’ve also found that it undermines the role of serendipity in their lives and can lead them to question what they know or believe about human rights. (...) But as with all new technologies, alongside the exciting possibilities are serious moral questions. And the questions get even trickier when these new tools are used to enhance understanding of the past and reanimate historical episodes. If Burke is right to understand political belonging this way, deepfake technology offers a powerful way to connect people to the past, to forge this intergenerational contract. By bringing the past to life in a vivid, convincing way, the technology enlivens the “dead” past and makes it more vivid and vibrant. If these images spur empathy and concern for ancestors, deepfakes can make the past matter a lot more.

But this capability comes with risk. One obvious danger is the creation of fake historical episodes. Imagined, mythologized and fake events can precipitate wars: a storied 14th-century defeat in the Battle of Kosovo still inflames Serbian anti-Muslim sentiments, even though nobody knows if the Serbian coalition actually lost that battle to the Ottomans. https://theconversation.com/the-slippery-slope-of-using-ai-and-deepfakes-to-bring-history-to-life-166464



nov21
alterar fotos históricas
https://www.smithsonianmag.com/innovation/history-spirit-photography-future-deepfake-videos-180979010/

nov21

reavivar a história

To mark Israel’s Memorial Day in 2021, the Israel Defense Forces musical ensembles collaborated with a company that specialises in synthetic videos, also known as “deepfake” technology, to bring photos from the 1948 Israeli-Arab war to life. They produced a video in which young singers clad in period uniforms and carrying period weapons sang “Hareut”, an iconic song commemorating soldiers killed in combat. As they sing, the musicians stare at faded black-and-white photographs they hold. The young soldiers in the old pictures blink and smile back at them, thanks to artificial intelligence Live reenactments and carefully processed historical footage are expensive and time-consuming undertakings. Deepfake technology democratises such efforts, offering a cheap and widely available tool for animating old photos or creating convincing fake videos from scratch. But as with all new technologies, alongside the exciting possibilities are serious moral questions. And the questions get even trickier when these new tools are used to enhance understanding of the past and reanimate historical episodes. https://scroll.in/article/1009721/ai-and-deepfakes-are-bringing-history-to-life-but-at-a-high-moral-cost

nov21
COPYRIGHT

A heart-warming commercial starring one of the most beloved actors of Turkish cinema appeared on Turkish television at the beginning of 2021. Thanks to deepfake technology, Kemal Sunal was able to star in a recent Ziraat Bank commercial more than 20 years after his passing. While this put a smile on the faces of many spectators, it has also given rise to a series of copyright questions.

There is global debate over whether copyright should subsist in works generated by artificial intelligence (“AI”) systems or whether a sui generis right should be granted to AI-generated works. Another heated topic of discussion is whether AI should be granted legal personality, which would enable the AI to be considered the author of the work. In this article, we will focus on the more specific question of who holds the copyright on deepfakes generated by AI with human intervention under the current laws.1 https://www.lexology.com/library/detail.aspx?g=ef6e81a2-422b-44ee-b640-d536b8080044 + 

Deepfake advertisements a new frontier in marketing in India - but they have raised concerns https://www.straitstimes.com/asia/south-asia/deepfake-advertisements-a-new-frontier-in-marketing-in-india-but-they-have-raised


out21

Adobe has built a deepfake tool, but it doesn’t know what to do with it, Deepfakes unlock creative possibilities but also nasty use cases. https://www.theverge.com/2021/10/27/22748508/adobe-deepfake-tool-max-project-morpheus


out21
O prêmio Emmy de documentário interativo foi concedido a produção “In Event of Moon Disaster”. O projeto usa tecnologia ‘deepfake’ para criar um discurso falso do ex-presidente dos Estados Unidos Richard Nixon. (...) O processo de criação desse discurso de Nixon levou mais de seis meses.
O áudio é o resultado do processamento da fala de um ator, e para a imagem foram usadas gravações das muitas aparições de Nixon na televisão na Casa Branca. https://olhardigital.com.br/2021/10/01/videos/deepfake-do-ex-presidente-americano-ganha-emmy/ A ideia do documentário é justamente a de levantar a discussão do uso ético da IA frente a um cenário onde a tecnologia parece avançar sem muitas restrições. A própria roteirista, Pakinam Amer, admitiu isso em entrevista ao Cairo Times, jornal do Egito: “o projeto está na encruzilhada de muitas disciplinas – jornalismo, ciências humanas, arte, história, ciências sociais e pesquisa. Ele usa machine learning [um braço da IA onde um computador ‘aprende’ padrões e ajusta seus parâmetros para se adequar a eles] e outras tecnologias emergentes para reimaginar um evento histórico e contar uma história aprofundada sobre possíveis verdades e a constantemente alterada natureza da realidade”, ela comentou. “[O filme] tem um deepfake em seu centro, mas isso foi feito para alertar para o potencial obscuro dos deepfakeshttps://olhardigital.com.br/2021/10/01/ciencia-e-espaco/deepfakes-e-o-uso-etico-da-ia/

set21

MORTOS 'Frank Sinatra' was crooning about hot tubs in 2020, more than 20 years after his death. However, it was only as a deepfake that the iconic voice of Ol' Blue Eyes sang, "Ohh, it's hot tub time" over a warbled backing track of piano and horns. The song, titled Hot Tub Christmas, is the product of artificial intelligence algorithms developed by San Francisco company OpenAI, which counts Microsoft among its investors. https://www.abc.net.au/news/2021-09-08/music-deepfakes-audio-singer-voice-death/100412494



ago21

Mediante la tecnología conocida como Deep Fake, la fundación logró recrear al intérprete Luis Alberto del Paraná en un videoclip, interpretando la canción Asunción y recorriendo la actual fachada de la ciudad. “La finalidad del proyecto es hacer un rescate cultural de artistas nacionales con el que se mezcla el pasado con el presente. Si bien las filmaciones se hacen ahora, el rostro es de la persona en sí”, explicó en comunicación con Última Hora Rodrigo Ríos, uno de los responsables. https://www.ultimahora.com/reviven-luis-alberto-del-parana-inteligencia-artificial-n2956243.html


jul21

An MTV Lebanon video commemorating the victims of the Beirut port blast has been branded as insensitive by social media users.

Titled “A Letter to the Lebanese Judiciary,” the video was shared on MTV online platforms alongside the hashtag, “it’s been a year, the time is up.”

It featured deepfakes of two victims of the devastating Aug. 4 explosion, Ralph Mallahi and Amin Al-Zahed, speaking directly to the camera while pictures and clips from the blast were shown for context. https://www.arabnews.com/node/1901606/media 

jul21
As deepfakes get more popular and AI (artificial intelligence) gets smarter, frauds give a bad name to the integrated technology. Unethical and dishonest deepfake video editing is known to spread misinformation. Fake videos easily skew a market’s idea and/or beliefs around current events, politics, celebrities, and more. Read more: https://www.getnews.info/1149681/deepfakes-web-and-ethical-ai-deepfake-technology.html#ixzz71vKrvdty

jul21

In 2019, Google released Translatotron, an AI system capable of directly translating a person’s voice into another language. The system could create synthesized translations of voices to keep the sound of the original speaker’s voice intact. But Translatotron could also be used to generate speech in a different voice, making it ripe for potential misuse in, for example, deepfakes. This week, researchers at Google quietly released a paper detailing Translatotron’s successor, Translatotron 2, which solves the original issue with Translatotron by restricting the system to retain the source speaker’s voice. Moreover, Translatotron 2 outperforms the original Translatotron by “a large margin” in terms of translation quality and naturalness, as well as “drastically” cutting down on undesirable artifacts, like babbling and long pauses. https://venturebeat.com/2021/07/23/googles-translatotron-2-removes-ability-to-deepfake-voices/

jul21
Voice cloning has turned into a lucrative industry, but it also poses a greater risk for identity theft than ever before.
https://www.tag24.com/tech/voice-cloning-is-a-new-industry-that-is-proving-both-useful-and-disturbing-2041816

jul21
Key questions students will explore: How can we properly balance freedom of speech and the prevention of fake news? What ethical guidelines should be applied to the use of AI and blockchains to ensure they do more good than harm? Will technology be enough to stop fake news? https://journals.sagepub.com/doi/abs/10.1177/2043886921999065 

jul21
(Bourdain)
When I first spoke with Neville, I was surprised to learn about his use of synthetic audio and equally taken aback that he’d chosen not to disclose its presence in his film. He admitted to using the technology for a specific voice-over that I’d asked about—in which Bourdain improbably reads aloud a despairing e-mail that he sent to a friend, the artist David Choe—but did not reveal the documentary’s other two instances of technological wizardry. Neville used the A.I.-generated audio only to narrate text that Bourdain himself had written. Bourdain composed the words; he just—to the best of our knowledge—never uttered them aloud. Some of Neville’s critics contend that Bourdain should have the right to control the way his written words are delivered. But doesn’t a person relinquish that control anytime his writing goes out into the world? (...) “In some senses, this is quite a minor use of a synthetic-media technology,” he told me. “It’s a few lines in a genre where you do sometimes construct things, where there aren’t fixed norms about what’s acceptable.” But, he explained, Neville’s re-creation, and the way he used it, raise fundamental questions about how we define ethical use of synthetic media. https://www.newyorker.com/culture/annals-of-gastronomy/the-ethics-of-a-deepfake-anthony-bourdain-voice 
“ ... and my life is sort of shit now. You are successful, and I am successful, and I’m wondering: Are you happy?” Bourdain wrote in an email, and an AI algorithm later narrated an approximation of his voice.
https://www.theverge.com/2021/7/15/22578707/anthony-bourdain-documentary-deepfake-voice 
CONSENTIMENTO?

Anthony Bourdain’s former partner Ottavia Bourdain has responded to the interview given by Morgan Neville to deny giving any permission for the filmmakers to use deepfakes of the late chef’s voice. In a tweet, she wrote “I certainly was NOT the one who said Tony would have been cool with that.” It remains unconfirmed whether other members of Anthony Bourdain’s family gave their consent for the project. https://hypebeast.com/2021/7/roadrunner-a-film-about-anthony-bourdain-documentary-deepfake-audio

Meredith Broussard, a New York University journalism professor and author of the book Artificial Unintelligence: How Computers Misunderstand the World, says it’s understandable that many find Bourdain’s audio clone deeply unsettling. “I’m not surprised that his widow doesn’t feel like she gave permission for this,” she says. “It’s such new technology that nobody really expects that it’s going to be used this way.” Using AI in journalism poses the greater ethical dilemma, Broussard said.”People are more forgiving when we use this kind of technology in fiction as opposed to documentaries,” she explains. “In a documentary, people feel like it’s real and so they feel duped.” https://qz.com/2034784/the-anthony-bourdain-documentary-and-the-ethics-of-audio-deepfakes/

MMA fighter Ottavia Busia, Anthony Bourdain’s widow, revealed that she did not give the team behind the “Roadrunner” documentary permission to “deepfake” the late chef’s voice.

“I certainly was NOT the one who said Tony would have been cool with that,” Busia tweeted on July 16, countering filmmaker Morgan Neville’s claim in an interview with GQ Read more: https://entertainment.inquirer.net/416886/anthony-bourdains-widow-denies-giving-permission-for-voice-deepfake#ixzz71vKznowV



jun21
Faux songs created from the original voices of star artists are becoming more popular (and more convincing), leading to murky questions of morality and legality. 
https://www.billboard.com/articles/columns/hip-hop/9596987/deepfake-music-imitations-history


jun21
RECUSCITAR MORTOS
El ejemplo más reciente ocurrió en México, cuando la cadena de supermercados “Soriana” utilizó la técnica del deepfake para traer a la vida a Mario Moreno, “Cantinflas”, actor y comediante de cine fallecido en 1993, con motivo de su campaña “La de todos los mexicanos”, que ha recibido comentarios muy positivos de la audiencia casi de forma unánime.
En 2020, en Brasil, la compañía de autos Fiat trajo de vuelta a Elvis Presley para subirlo a la Strada, una pick-up de pequeño tamaño para la que ya se habían registrado cerca de seis mil órdenes y cuyas ventas querían incrementar con la aparición de la estrella de rock. Fue así como la tecnología del deepfake permitió “revivir” a Presley, fallecido en 1977, para el comercial “The Legend”, donde aparece de joven al volante de uno de los modelos, que en México conocemos como RAM 700.
https://www.elsoldecuernavaca.com.mx/local/celebridades-fallecidas-resurgen-gracias-al-deepfake-6801741.html 

ma121
This paper will explore how foregrounding deepfakes’ spectacular digitally-generated verisimilitude allows for the technology to become a potential cinematic technique able to intervene as a tactic for providing anonymous witness testimony; https://mla.hcommons.org/deposits/item/hc:38833/

ma21
a company called Flawless has created an AI-powered solution that will replace an actor’s facial performance to match the words in a film dubbed for foreign audiences. https://gizmodo.com/deepfake-lips-are-coming-to-dubbed-films-1846840191

New deepfake technology allows Robert De Niro to deliver his famous line from Taxi Driverin flawless German—with realistic lip movements and facial expressions. The AI software manipulates an actor's lips and facial expressions to make them convincingly match the speech of someone speaking the same lines in a different language. The artificial intelligence-based tech could reshape the movie industry, in both alluring and troubling ways.

The technology is related to deepfaking, which uses AI to paste one person's face onto someone else. It promises to allow directors to effectively reshoot movies in different languages, making foreign versions less jarring for audiences and more faithful to the original. But the power to automatically alter an actor's face so easily might also prove controversial if not used carefully.

The AI dubbing technology was developed by Flawless, a UK company cofounded by the director Scott Mann, who says he became tired of seeing poor foreign dubbing in his films.

https://arstechnica.com/gaming/2021/05/robert-de-niro-speaks-fluent-german-in-taxi-driver-thanks-to-ai/#p3 


mai21
‘Deepfake’ that supposedly fooled European politicians was just a look-alike, say pranksters. Fear of deepfakes seems to have outpaced the technology itself. https://www.theverge.com/2021/4/30/22407264/deepfake-european-polticians-leonid-volkov-vovan-lexus

ab21

Deepfake’s flexible nature means content can be personalised, creating a fully rewarding experience for the consumer. There’s already a huge appetite for conversational connection, as shown by the runaway success of the celebrity video messaging platform, Cameo. Deepfake technology furthers this opportunity for personal dialogue while using only a fraction of the talent’s time. From chatbots to voice AI technology, brands often investigate implementing technology that reduces costs and improves customer engagement across digital products. Deepfake is the new kid on the block, giving brands warm humanity, helping them move from cold automation to intimate customer communication. https://www.campaignlive.com/article/deepfakes-digital-avatars-new-celebrity-brand-ambassadors/1713070?DCMP=EMC-CONTheCampaignFix&bulletin=the-campaign-fix 


mar21
 Ahead of a landmark vote that could lead to the formation of the first-ever labor union at a US-based Amazon warehouse, new Twitter accounts purporting to be Amazon employees started appearing. The profiles used deepfake photos as profile pictures and were tweeting some pretty laughable, over-the-top defenses of Amazon’s working practices. They didn’t seem real, but they still led to confusion among the public. Was Amazon really behind them? Was this some terrible new anti-union social media strategy? The answer is almost certainly not—but the use of deepfakes in this context points to a more concerning trend overall.
https://www.technologyreview.com/2021/03/31/1021487/deepfake-amazon-workers-are-sowing-confusion-on-twitter-thats-not-the-problem/


FEV21
Personagens que são deepfakes
That is, except for one thing: the completely bonkers decision to have deepfakes of Davis and Rozelle narrate the entire documentary themselves. Rozelle passed away in 1996, Davis in 2011. They appear throughout the documentary as CGI reanimations of their former selves, pacing around the Raiders’ new stadium in Las Vegas—which, needless to say, was a big ol’ pit of sand during both men’s lives. (Did you think the league would pass up a promotional opportunity? Sin City, baby!) Things get weird immediately: While the deepfakes aren’t present in the official trailer, it takes less than a minute to get to a creepy, uncanny-valley version of Davis loitering around the Vegas stadium’s upper deck—in front of the 85-foot memorial torch built in his honor. https://www.theringer.com/nfl/2021/2/5/22267485/al-davis-pete-rozelle-deepfakes-30-for-30

jan21
CAN DEEPFAKES SUBSTITUTE FOR ACTORS?
The union warned that without such rights, actors’ bodies, voices, and personalities can be lifted from their screen work and manipulated into footage they do not approve of and don’t get any compensation for, including deepfake pornography. While actors have a heightened risk of being manipulated into deepfake footage, the union emphasized any person with a social media account could also have their likeness manipulated.
https://mindmatters.ai/2021/01/can-deepfakes-substitute-for-actors/

jan21

Há três dias, a 11 de janeiro, a Reuters noticiava que um vídeo de Donald Trump em que ele reconhecia a vitória de Joe Biden não era um "Deepfake confirmado". No entanto, quando se ia ao "fact check" do Facebook, este dizia tratar-se de um vídeo falso. Os jornalistas da Reuters, depois de nitidamente terem ficado numa situação em que não sabiam bem em quem acreditar - afinal fonte oficial da Casa Branca não é de fiar; e nenhuma fonte considerável credível afirma, de facto, ser uma gravação manipulada - tiveram de recorrer a especialistas de análise de vídeo para concluir que se tratará de uma gravação legítima. Só que, aparentemente, o Facebook não recebeu o "memorando"...
 Como a própria Reuters escreve, o vídeo foi difundido por media tradicionais, tais como esta mesma agência, a CNN e a Fox News.
https://www.dn.pt/opiniao/deepfake-depois-da-rainha-a-dancar-um-presidente-a-declarar-guerra-13232547.html


DEZ20

RAINHA DE INGLATERRA (bom? mau? pedagogia?)

https://www.theguardian.com/technology/2020/dec/24/channel-4-under-fire-for-deepfake-queen-christmas-message

https://www.dailymail.co.uk/video/royals/video-2319702/Video-Channel-4-creates-deepfake-version-Queen-alternative-Christmas-message.html?mwv_rm=rta

warning viewers to question "whether what we see and hear is always what it seems."

Channel 4 said the video was created as a "stark warning" about technology and the proliferation of fake news.

Channel 4 annually accompanies the Queen's traditional speech with an "alternative Christmas message." This message has been aired since 1993.It has long attracted controversy. Previous people to have delivered the alternative speech include Mahmoud Ahmadinejad, the former president of Iran. Other notable invitees include US whistleblower Edward Snowden, Jesse Jackson and the children who survived the 2017 Grenfell Tower fire. https://edition.cnn.com/2020/12/25/uk/deepfake-queen-speech-christmas-intl-gbr/index.html 
Britain's communications watchdog has received more than 200 complaints about Channel 4's digitally created "deepfake" version of the Queen's speech. https://au.news.yahoo.com/complaints-over-deepfake-queens-speech-212032444--spt.html

Tuesday, December 22, 2020

Liar's dividend

feb24

As part of that larger project, I did this investigation of deepfakes to try to understand, epistemically, what was going on — exactly why they are a threat to knowledge. In what respect do they cause false beliefs, and in what respect do they prevent people from acquiring true beliefs? And even when people are able to acquire true beliefs, do they interfere with their acquiring justified beliefs, so that it’s not knowledge. We use videos as a way of accessing information about the world that we otherwise would be too far away from — either in time or in space — to access. Videos and photographs have this benefit of expanding the realm of the world that we can acquire knowledge about. But if people are easily able to make something that looks like it’s a genuine photograph or video, then that reduces the information flow that you can get through those sources. Now the obvious problem is, for example, that somebody fakes a video of some event, and the user is either misled into thinking that that event occurred, or led into skepticism about it because of the ubiquity of, say, deepfakes.

https://news.northeastern.edu/2024/02/12/magazine/ai-deepfake-images-online-deception/


dez23

Generative AI introduces a daunting new reality: inconvenient truths can be denied as deepfaked, or at least facilitate claims of plausible deniability to evade accountability. The burden of proof, or perhaps more accurately, the “burden of truth” has shifted onto those circulating authentic content and holding the powerful to account. This is not just a crisis of identifying what is fake. It is also a crisis of protecting what is true. When anything and everything can be dismissed as AI-generated or manipulated, how do we elevate the real stories of those defending our democracy at the frontlines?

https://www.cfr.org/blog/protect-democracy-deepfake-era-we-need-bring-voices-those-defending-it-frontlines


dez23

The Liar’s Dividend: Can Politicians Claim

Misinformation to Evade Accountability?

Kaylyn Jackson Schiff∗† Daniel S. Schiff‡ Natália S. Bueno§

October 19, 2023

Abstract

This study addresses the phenomenon of misinformation about misinformation, or

politicians “crying wolf” over fake news. Strategic and false claims that stories are

fake news or deepfakes may benefit politicians by helping them maintain support after

a scandal. We posit that this benefit, known as the “liar’s dividend,” may be achieved

through two politician strategies: by invoking informational uncertainty or by encouraging

oppositional rallying of core supporters. We administer five survey experiments

to over 15,000 American adults detailing hypothetical politician responses to stories

describing real politician scandals. We find that claims of misinformation representing

both strategies raise politician support across partisan subgroups. These strategies

are effective against text-based reports of scandals, but are largely ineffective against

video evidence and do not reduce general trust in media. Finally, these false claims

produce greater dividends for politicians than alternative responses to scandal, such as

remaining silent or apologizing.

The Liar's Dividend: Can Politicians Claim Misinformation to Evade Accountability?


Delfino

THE RISE OF DEEPFAKES AND THE “LIAR’S DIVIDEND”

Deepfakes are fabricated audiovisual content created or altered to appear to the observer to be a genuine account of the speech, conduct, image, or likeness of an individual or an event.13 They create a fake reality by superimposing a person’s face on another’s body or changing the contents of one’s speech.14 A combination of “deep learning” and “fake,” so-called “deepfake” programs use AI to produce these fake audio-visual images.15 This new technology, developed and unleashed on the internet in late 2017, allows anyone with a smartphone to believably map another’s movements and words onto someone else’s face and voice to make them appear to say or do anything.16 And the more video and audio of the person fed into the computer’s deep-learning algorithms, the more convincing the result.17

(continua)

THE DEEPFAKE DEFENSE—EXPLORING THE LIMITS OF THE LAW AND ETHICAL NORMS IN PROTECTING LEGAL PROCEEDINGS FROM LYING LAWYERS

Professor Rebecca A. Delfino*

LMU Loyola Law School, Los Angeles

~



citron e chesney 2019

The Liar’s Dividend: Beware the Cry of Deep-Fake News

We conclude our survey of the harms associated with deep fakes by

flagging another possibility, one different in kind from those noted above. In

each of the preceding examples, the harm stems directly from the use of a deep

fake to convince people that fictional things really occurred. But not all lies

involve affirmative claims that something occurred (that never did): some of the

most dangerous lies take the form of denials.

Deep fakes will make it easier for liars to deny the truth in distinct ways. A

person accused of having said or done something might create doubt about the

accusation by using altered video or audio evidence that appears to contradict

the claim. This would be a high-risk strategy, though less so in situations where

the media is not involved and where no one else seems likely to have the

technical capacity to expose the fraud. In situations of resource-inequality, we

may see deep fakes used to escape accountability for the truth.

Deep fakes will prove useful in escaping the truth in another equally

pernicious way. Ironically, liars aiming to dodge responsibility for their real

words and actions will become more credible as the public becomes more

educated about the threats posed by deep fakes. Imagine a situation in which an

accusation is supported by genuine video or audio evidence. As the public

becomes more aware of the idea that video and audio can be convincingly faked,

some will try to escape accountability for their actions by denouncing authentic

video and audio as deep fakes. Put simply: a skeptical public will be primed to

doubt the authenticity of real audio and video evidence. This skepticism can be

invoked just as well against authentic as against adulterated content.

Hence what we call the liar’s dividend: this dividend flows, perversely, in

proportion to success in educating the public about the dangers of deep fakes.

The liar’s dividend would run with the grain of larger trends involving truth

skepticism. Most notably, recent years have seen mounting distrust of traditional

sources of news. That distrust has been stoked relentlessly by President Trump

and like-minded sources in television and radio; the mantra “fake news” has

become an instantly recognized shorthand for a host of propositions about the

supposed corruption and bias of a wide array of journalists, and a useful

substitute for argument when confronted with damaging factual assertions.

Whether one labels this collection of attitudes postmodernist or nihilist,138 the

138. For a useful summary of that debate, see Thomas B. Edsall, Is President Trump a Stealth

Postmodernist or Just a Liar?, N.Y. TIMES (Jan. 25, 2018),

https://www.nytimes.com/2018/01/25/opinion/trump-postmodernism-lies.html

[https://perma.cc/DN7F-AEPA].

Electronic copy available at: https://ssrn.com/abstract=3213954

1786 CALIFORNIA LAW REVIEW [Vol. 107:1753

fact remains that it has made substantial inroads into public opinion in recent

years.

Against that backdrop, it is not difficult to see how “fake news” will extend

to “deep-fake news” in the future. As deep fakes become widespread, the public

may have difficulty believing what their eyes or ears are telling them—even

when the information is real. In turn, the spread of deep fakes threatens to erode

the trust necessary for democracy to function effectively.139

The combination of truth decay and trust decay accordingly creates greater

space for authoritarianism. Authoritarian regimes and leaders with authoritarian

tendencies benefit when objective truths lose their power.140 If the public loses

faith in what they hear and see and truth becomes a matter of opinion, then power

flows to those whose opinions are most prominent—empowering authorities

along the way.141

Cognitive bias will reinforce these unhealthy dynamics. As Part II explored,

people tend to believe facts that accord with our preexisting beliefs.142 As

research shows, people often ignore information that contradicts their beliefs and

interpret ambiguous evidence as consistent with their beliefs.143 People are also

inclined to accept information that pleases them when given the choice.144

Growing appreciation that deep fakes exist may provide a convenient excuse for

motivated reasoners to embrace these dynamics, even when confronted with

information that is in fact true.

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3213954


jul23 (?)

is already so high.

Preparing for the Liar’s Dividend’s consequences is not just a theoretical exercise: in June 2019 compromising footage of the Malaysian Minister of Economic Affairs Azmin Ali was allegedly captured on video. In response to the accusations, Ali claimed that the video was a deepfake, something that was not able to be confirmed by experts who examined the footage.26

It is not difficult to imagine similar scenarios playing out in the 2020 U.S. election. What would happen if something like the infamous “Access Hollywood” tape, where Donald Trump is heard making disparaging and offensive comments about women in an audio recording, were to happen in the 2020 election?27

During one of the workshops, participants engaged in the above thought experiment and after describing the scenario, the person leading the experiment observed that “In that moment in the past, the very media artifact was the truth,” but with the Liar’s Dividend, “I get to claim any video is fake,” even if it’s been authenticated as real, the newsroom manager said. “The next Access Hollywood tape will be challenged as a deepfake” even if it hasn’t been manipulated or distorted.

It is important to remember that not everyone has to believe a deepfake is real for it to have an effect. After all, we know that creating doubt is a major strategy of disinformation campaigns,28 and now, with the mere existence of synthetic media, it is even more difficult to know what and whom to trust. Malicious actors can capitalize on the Liar’s Dividend by creating deepfakes that are just convincing enough to make people question whether it is real. Furthermore, for a malicious deepfake to have an effect, it doesn’t need to reach massive audiences. As one of the participants in the workshops noted, “When I say viral, it doesn’t need to be millions of views.”

Continua

DEEPFAKES IN THE 2020 ELECTIONS AND BEYOND: Lessons From the 2020 Workshop Series



jun23

For years now, academics have feared the rise of increasingly convincingly looking deepfake video could make it easier for bad actors to brush aside real videos as potentially manipulated. These scenarios, which some have dubbed “the liars dividend” creates a particularly insidious situation in jury trial settings where attorneys for either the defense or prosecution simply need to instill some doubt into a jury’s mind. If deepfake are indistinguishable from reality and present everywhere one looks, how can anyone confidently claim any single video is true?

8 Times ‘Deepfake’ Videos Were Actually Real

The rise of convincing and ubiquitous deepfake technology is leading to scenarios where bad actors deny reality in court.

https://gizmodo.com/ai-deepfake-8-times-deepfake-videos-were-actually-real-1850520257

ma23

La convergence des deepfakes et de l’effet Mandela soulève des questions sur la confiance que nous accordons à nos souvenirs et aux médias numériques. Les deepfakes peuvent être utilisés pour altérer des événements historiques et semer la confusion parmi les masses, renforçant ainsi l’effet Mandela. La combinaison de ces deux phénomènes pourrait conduire à une société où il devient de plus en plus difficile de distinguer la réalité de la fiction.

https://www.thmmagazine.fr/deepfakes-et-effet-mandela-lart-de-la-manipulation-numerique/




mai23

Turkish presidential candidate quits race after release of alleged sex tape

Muharrem İnce pulls out just days from close election race saying alleged sex tape is deepfake

https://www.theguardian.com/world/2023/may/11/muharrem-ince-turkish-presidential-candidate-withdraws-alleged-sex-tape




mai23
People are trying to claim real videos are deepfakes. The courts are not amused
https://www.npr.org/2023/05/08/1174132413/people-are-trying-to-claim-real-videos-are-deepfakes-the-courts-are-not-amused

dez22

 In several recent high-profile trials, defendants have sought to cast doubt on the reliability of video evidence by suggesting that artificial intelligence may have surreptitiously altered the videos.

These challenges are the most notable examples yet of defendants leveraging the growing prevalence in society of AI-manipulated media — often called deepfakes — to question evidence that, until recently, many thought was nearly unassailable.

There are two central concerns about deepfakes in the courtroom. First, as manipulated media becomes more realistic and harder to detect, the risk increases of falsified evidence finding its way into the record and causing an unjust result.

Second, the mere existence of deepfakes makes it more likely the opposing party will challenge the integrity of evidence, even when they have a questionable basis for doing so. This phenomenon, when individuals play upon the existence of deepfakes to challenge the authenticity of genuine media by claiming it is forged, has become known as the "liar's dividend," a term coined by law professors Bobby Chesney and Danielle Citron.[1]
https://www.wilmerhale.com/en/insights/publications/20221221-the-other-side-says-your-evidence-is-a-deepfake-now-what


nov22

Remember Will Smith's brilliant performance in that remake of The Matrix? Well, it turns out almost half the participants in a new study on 'deep fakes' believed fake remakes featuring different actors in old roles were real, highlighting the risk of 'false memory' created by online technology.

The study, carried out by researchers at the School of Applied Psychology in University College Cork, presented 436 people with deepfake video of fictitious movie remakes.

Deepfakes are manipulated media created using artificial intelligence technologies, where an artificial face has been superimposed onto another person’s face, resulting in a highly convincing recording of someone doing or saying something they never did.

https://www.irishexaminer.com/news/arid-41006312.html

jun22

The Liar’s Dividend: The Impact of Deepfakes and Fake News on Politician Support and Trust in Media

https://gvu.gatech.edu/research/projects/liars-dividend-impact-deepfakes-and-fake-news-politician-support-and-trust-media



mai22
This study addresses the phenomenon of misinformation about misinformation, or
politicians “crying wolf” over fake news. Strategic and false allegations that stories
are fake news or deepfakes may benefit politicians by helping them maintain support
in the face of information damaging to their reputation. We posit that this concept,
known as the “liar’s dividend,” works through two theoretical channels: by invoking
informational uncertainty or by encouraging oppositional rallying of core supporters.
To evaluate the implications of the liar’s dividend, we use three survey experiments
detailing hypothetical politician responses to video or text news stories depicting real
politician scandals. We find that allegations of misinformation raise politician support,
while potentially undermining trust in media. Moreover, these false claims produce
greater dividends for politicians than longstanding alternative responses to scandal,
such as remaining silent or apologizing. Finally, false allegations of misinformation pay
off less for videos (“deepfakes”) than text stories (“fake news”).
The Liar’s Dividend: Can Politicians Use Deepfakes
and Fake News to Evade Accountability?
Kaylyn Jackson Schiff∗, Daniel Schiff†, and Natália S. Bueno‡
May 10, 2022


fev22
There are numerous concerns that can be raised with respect to the rising prominence of deepfakes in the digital landscape, but perhaps the most alarming concern refers to the belief that deepfake technology will irreversible blur the lines between wat can be considered ‘real’ and what can be considered ‘fake.’ This concern is captured in popular discourse by the notion of the Infopocalypse. 
TESE http://essay.utwente.nl/89478/


dez21
If you’re thinking, “I would never fall for a deepfake,” you are not alone. In a recent open-access study by researchers from the Center for Humans and Machines (Max-Planck-Institute for Human Development) and CREED (University of Amsterdam), the vast majority of respondents showed high confidence in their abilities to detect deepfakes (see blue bars, Figure 1). However, these confidence levels significantly exceeded their actual detection abilities (see orange bars Figure 1). When left to their own devices — their eyes and ears —, people could no longer reliably detect deepfakes. In fact, even when financially incentivized to accurately gauge their detection abilities, they are overconfident in them (Köbis, Doležalová & Soraperra, 2021). https://www.psychologytoday.com/gb/blog/decisions-in-context/202112/the-psychology-deepfakes

nov21


In June 2019, a grainy video proliferated throughout Malaysian social media channels that allegedly showed the country’s Economic Affairs Minister, Mohamed Azmin Ali, having sex with a younger staffer named Muhammad Haziq Abdul Aziz. Although Azmin insisted that the video was fake and part of a “nefarious plot” to derail his political career, Abdul Aziz proceeded to post a video on Facebook ‘confessing’ that he was the man in the video and calling for an investigation into Azmin. The ensuing controversy threw the country into uproar. Azmin kept his job, though, after the prime minister declared that the video was likely a deepfake—a claim several experts have since disputed.
 Was the low-quality, hidden-camera video genuine? No one knows, except its creators. But just like in the case of the laptop, the truth was inaccessible—and into that ambiguity stepped powerful parties with their own versions of truth. The chaos engendered by the Hunter Biden laptop’s unverifiability provides a window into a future in which a more sophisticated piece of visual disinformation wreaks unimaginable, unstoppable havoc. https://brownpoliticalreview.org/2021/11/hunters-laptop-deepfakes-and-the-arbitration-of-truth/

nov21
We sat down with Sam Gregory, program director at Witness.
About a decade ago, we started to see new challenges to the integrity of video. For instance, people would question the stories that clips were telling and say, “That wasn’t filmed in that place, it was filmed in this place.” So, we partnered with an organization called The Guardian Project to start building tools like ProofMode, which adds rich metadata to videos and photographs and cryptographically signs that piece of media to increase verifiability, show if an image has been changed and provide a chain of custody. 

Deepfakes make it easier to dismiss footage of critical events. The “Infopocalypse, the world is collapsing, you can’t believe anything you see,” rhetoric that we’ve all heard in recent years has been deeply harmful. Deepfakes have gotten easier to make. However, they’re still not prevalent in the really sophisticated way that I think many people believe they are. There’s what we call the “liar’s dividend,” which is the ability to easily dismiss something true as a deepfake. We’ve seen this in some high-profile cases recently. Witness was involved in a case in Myanmar, involving the former chief minister of Yangon. A video was released by the military government in March this year, in which he appears to accuse Aung San Suu Kyi, the country’s de facto leader before the February 2021 coup, of corruption. In the video, he looks very static, his mouth looks out of sync and he sounds unlike his normal self. People saw this and were like, “It’s a deepfake.” We’re seeing this happen towards video evidence globally. Increasingly, people are just saying, “You can’t believe anything.” We need to be investing in equity of access to tools that authenticate videos and debunk fakes, so they are available broadly.

 https://www.codastory.com/authoritarian-tech/decentralized-web-human-rights/


ag21
Acreditamos naquilo que queremos. O psicólogo e escritor Michael Brant Shermer, colunista da Scientific American, afirma: “As pessoas gostam de ser enganadas”. Ele afirma que o mundo real não é suficiente para o tamanho dos nossos anseios e da nossa imaginação. Queremos mais, sempre, pois o inexplicável nos fascina, o fantástico nos atrai, e a fantasia nos alegra. Toda ficção, incluindo filmes de super-heróis, nos surpreende, ativa nossa criatividade e nos tira da rotina. O perigo está em quando não sabemos distinguir e não controlamos o que é mentira ou realidade. Ou quando inocentes são prejudicados. (...) Já foi o tempo do ditado que dizia que tão culpado quanto o enganador é aquele que se deixa enganar. Como Shermer defende, “a mágica nos entretém e nos ludibria justamente porque queremos ser iludidos”. Infelizmente, não evoluímos para duvidar ou desenvolver uma visão crítica mais apurada, e o deepfake confunde e inibe o nosso viés de ceticismo. https://www.portaldosjornalistas.com.br/inteligencia-artificial-deepfake-ou-matrix/

jul21

Finally, there is social adjustment. Behavioral scientists talk about educating Internet users to pre-bunk misleading content rather than trying to unravel it once it’s posted. The greatest danger due to profound content is probably that it inflates the ‘liar’s dividend’ so that everyone can question everything and devalue the currency of truth. As US Congressman Adam Schiff explained, “fake videos can not only be portrayed as real, but real information can be passed on as fake.”

It is the malleability of technology and the ingenuity of the human mind, that the war against harmful depths can never be won. However, the impact of deep lies depends on the ways in which it is used, the contexts in which it is placed, and the extent of the audience they reach. These are grounds that are still worth disputing. FT https://afegames.com/deepfakes-threaten-to-inflate-the-liars-dividend/ 


jun21
VISÃO ALTERNATIVA?
Deepfake is not only incapable of contributing to such an end, but also offers a unique opportunity to transition towards a framework of social trust better suited for the challenges entailed by the digital age.
https://link.springer.com/article/10.1007/s43681-021-00072-1 

jun21
Moreover, the sheer possibility of deepfakes would create a plausible deniability
of anything reported or recorded. Thereby doubts sown by deepfakes could
permanently alter our trust in audio and video. For instance, in 2018, Cameroon’s
minister of communication dismissed as fake a video Amnesty International thinks
shows Cameroonian soldiers executing civilians.32 Similarly, Donald Trump, who
in a recorded conversation boasted about grabbing women’s genitals, later
claimed the tape was fake. He thereby enabled his followers to take that stance.33
Such denials would then be among the multifarious voices on an issue, making it
ever harder to motivate people to scrutinize their beliefs.
Catherine Kerner and Mathias Risse*
Beyond Porn and Discreditation: Epistemic
Promises and Perils of Deepfake Technology
in Digital Lifeworlds
https://doi.org/10.1515/mopp-2020-0024
Published online November 12, 2020

jun21

Videos speak to the human brain in a much more immediate manner than text - the 'I have seen it with my own eyes' phenomena.And worse, the pure possibility to manipulate video, may cause anything to be questioned. A genuine video can be dismissed as deepfake or a manipulated one trumpeted as genuine.Over time the public attitude may become "disbelief by default", as Sam Gregory of the NGO WITNESS noted. https://euobserver.com/opinion/151935


mai21
‘Deepfake’ that supposedly fooled European politicians was just a look-alike, say pranksters. Fear of deepfakes seems to have outpaced the technology itself. https://www.theverge.com/2021/4/30/22407264/deepfake-european-polticians-leonid-volkov-vovan-lexus

aprb21

"My biggest concern is not the abuse of deepfakes, but the implication of entering a world where any image, video, audio can be manipulated. In this world, if anything can be fake, then nothing has to be real, and anyone can conveniently dismiss inconvenient facts" as synthetic media, Hany Farid, an AI and deepfakes researcher and associate dean of UC Berkeley's School of Information, told Insider. That paradox is known as the "liar's dividend," a name given to it by law professors Danielle Citron and Robert Chesney. Many of the harms that deepfakes can cause — such as deep porncyberbullyingcorporate espionage, and political misinformation — stem from bad actors using deepfakes to "convince people that fictional things really occurred," Citron and Chesney wrote in a 2018 research paper. https://www.businessinsider.com/deepfakes-liars-dividend-explained-future-misinformation-social-media-fake-news-2021-4 


mar21
The junta’s attempt to prove the graft allegation against detained State Counselor Daw Aung San Suu Kyi by showing a video clip of the detained Chief Minister of the Yangon Region who is alleged to have bribed her has met with public skepticism. Many citizens doubted the authenticity of the video, as the chief minister’s lip movements were not synchronized with the audio.
https://www.irrawaddy.com/news/burma/myanmar-junta-accused-using-deepfake-technology-prove-graft-case-daw-aung-san-suu-kyi.html


mar21
How Deepfakes could help implant false memories in our minds
Basically, it’s relatively easy to implant false memories. Getting rid of them is the hard part. The study was conducted on 52 subjects who agreed to allow the researchers to attempt to plant a false childhood memory in their minds over several sessions. After awhile, many of the subjects began to believe the false memories. The researchers then asked the subjects’ parents to claim the false stories were true. The researchers discovered that the addition of a trusted person made it easier to both embed and remove false memories. Per the paper: "The present study therefore not only replicates and extends previous demonstrations of false memories but, crucially, documents their reversibility after the fact: Employing two ecologically valid strategies, we show that rich but false autobiographical memories can mostly be undone. Importantly, reversal was specific to false memories (i.e., did not occur for true memories)."

What does this have to do with Deepfakes? It’s simple: if we’re so easily manipulated through tidbits of exposure to tiny little ads in our Facebook feed, imagine what could happen if advertisers started hijacking the personas and visages of people we trust? If you can convince someone that the people they respect and care about believe they’ve done something wrong, it’s easier for them to accept it as a fact. How many law enforcement agencies in the world currently have an explicit policy against using manipulated media in the solicitation of a confession? Our guess would be: close to zero. With Deepfakes and enough time, you could convince someone of just about anything as long as you can figure out a way to get them to watch your videos. 

https://thenextweb.com/neural/2021/03/23/how-deepfakes-could-help-implant-false-memories-in-our-minds/

 

https://thenextweb.com/neural/2021/03/23/how-deepfakes-could-help-implant-false-memories-in-our-minds/

mar21
Results indicated that Deepfaked videos and audio have a strong psychological impact on the viewer,
and are just as effective in biasing their attitudes and intentions as genuine content.
Many people are unaware that Deepfaking is possible; find it difficult to detect when
they are being exposed to it; and most importantly, neither awareness nor detection
serves to protect people from its influence.
Deepfaked online content is highly effective in manipulating people's attitudes and intentions

fev21
Their testimony also pinpointed how claims of deepfakery and video manipulation were being increasingly used for what law professors Danielle Citron and Bobby Chesney call the “liar’s dividend,” the ability of the powerful to claim plausible deniability on incriminating footage. Statements like “It’s a deepfake” or “It’s been manipulated” have often been used to disparage a leaked video of a compromising situation or to attack one of the few sources of civilian power in authoritarian regimes: the credibility of smartphone footage of state violence. This builds on histories of state-sponsored deception. In Myanmar, the army and authorities have repeatedly both shared fake images themselves and challenged the veracity and integrity of real evidence of human rights violations.
wired.com/story/opinion-authoritarian-regimes-could-exploit-cries-of-deepfake/


jan21
A recent video posted to Twitter by President Donald Trump has some users suspicious that it's a deepfake, underscoring the difficulty in detecting what's real and what's fake in social media videos and highlighting erosion of public trust in government and the media.
https://searchenterpriseai.techtarget.com/news/252494572/Doubts-about-Trump-video-show-how-hard-deepfakes-are-to-detect


ABril20

While authentication protects against false negatives, there remains the possibility – even with allowances, such as to permit facial blurring – that it could produce false positives for honestly edited footage. In the immediate future, neither detection nor authentication can offer an absolutely watertight way to flag up deepfakes as they multiply online. (...) “What worries me more than fully faked videos is small alternations to a video like changing the lapel on a military uniform to make it from one country to another,” said Sam Dubberley, a University of Essex researcher and adviser to Amnesty International’s Evidence Lab. “It’s easy enough to [debunk] if it’s Trump or Putin but if it’s a Rohingya village chief and there’s WhatsApp audio saying “All the Rohingya must rise up and burn down the police state” that’s going to be impossible to prove where it came from.”
Deepfakes have arrived at moment in which – for many people – the truth can be whatever they want it to be. The mere existence of deepfakes aggravates this atmosphere of tribalism and distrust in which any evidence can be dismissed as fake: this problem has been described by academics as the “liar’s dividend”.
“The worry I have is that deepfakes are a way of creating chaos in the current disinformation climate […] but also they’ll create some sort of plausible deniability and that’s what I see as being the major aim,” said Professor Lilian Edwards, an internet law and policy expert based at Newcastle University. “It’s a chaotic aim.”
Edwards cites Trump’s claim that his pussy-grabbing audio tape was faked as an example of politicians weaponising the plausible deniability legitimised by synthetic media. It is likely that those who believe Trump’s denial were already prepared to accept as fact whatever confirms their tribalistic beliefs, and it is easy to dismiss these people as a long-lost cause who did not need more excuses to choose their own facts. However, there is evidence that the liar’s dividend specifically associated with deepfakes (and the misconception that creating realistic deepfakes is trivial) is already a potent threat in parts of the world.
In Gabon in late 2018, a video of President Ali Bongo (who had temporarily stopped making public appearances due to ill health) was shared, and its unusual appearance led an opposition politician to joke and then seriously argue that the video was a deepfake. Days later, members of Gabon’s military attempted a coup, citing the video’s appearance as evidence that affairs were not as they should be. In Malaysia last year, a gay sex tape allegedly featuring the Minister of Economic Affairs and a rival minister’s aide circulated online. While the aide swore that the video was real, the minister and Prime Minister dismissed it as a deepfake, allowing the minister to get away without the serious legal consequences he may otherwise expect in the socially conservative country.
Subsequent analysis seemed to conclude that neither of the two videos were deepfakes, but damage was done regardless: “Awareness of deepfakes alone is destabilising political processes by undermining the perceived objectivity of videos featuring politicians and public figures,” Deeptrace wrote in its 2019 report. Western democracies like the UK, many of which have seen their institutions weakened in the past few years, cannot take for granted that they are invulnerable to destabilisation.
The erosion of trust in video caused by deepfakes is likely to resonate beyond the sphere of politics, as the impact of fake news is felt across healthcare, science, and other areas. Video evidence fuels social movements like Black Lives Matter and the Hong Kong Pro-Democracy Protests, and is increasingly significant in courts of law, with the European Human Rights Advocacy Centre submitting video in its litigation regarding the 2014 annexation of Crimea. LINK


 (ver ALI BONGO)

This dynamic is exacerbated by what researchers term the ‘liar’s dividend’: that is, efforts to debunk misinformation or propaganda can make it more difficult for audiences to trust all sources of information. This underscores the need for effective policy responses to weaponised deep fakes. Governments must act early to reassure the public that they’re responding to the challenges of weaponised deep fakes, lest panic or credulity outstrip the impact of the fakes. https://www.aspi.org.au/report/weaponised-deep-fakes


Então, como a verdade pode emergir num mercado repleto de deepfakes? Vamos então apenas pegar o caminho de menor resistência, acreditar no que quisermos acreditar, e dane-se a verdade? E podemos não apenas acreditar na mentira, mas começar a não acreditar na verdade. Já vimos pessoas recorrendo ao fenômeno dos deepfakes para lançar dúvidas em evidências reais de suas transgressões. Vimos políticos falarem sobre o áudio de seus comentários constrangedores: “Vamos lá, são notícias falsas. Não podem acreditar no que seus olhos e ouvidos estão dizendo a você”. E é esse perigo que o professor Robert Chesney e eu chamamos de “dividendo do mentiroso”: o risco de que os mentirosos recorram a deepfakes para escapar da responsabilização por seus erros. LINK

Mandela effect



mar21

Basically, it’s relatively easy to implant false memories. Getting rid of them is the hard part. The study was conducted on 52 subjects who agreed to allow the researchers to attempt to plant a false childhood memory in their minds over several sessions. After awhile, many of the subjects began to believe the false memories. The researchers then asked the subjects’ parents to claim the false stories were true. The researchers discovered that the addition of a trusted person made it easier to both embed and remove false memories. Per the paper: "The present study therefore not only replicates and extends previous demonstrations of false memories but, crucially, documents their reversibility after the fact: Employing two ecologically valid strategies, we show that rich but false autobiographical memories can mostly be undone. Importantly, reversal was specific to false memories (i.e., did not occur for true memories)."

What does this have to do with Deepfakes? It’s simple: if we’re so easily manipulated through tidbits of exposure to tiny little ads in our Facebook feed, imagine what could happen if advertisers started hijacking the personas and visages of people we trust? If you can convince someone that the people they respect and care about believe they’ve done something wrong, it’s easier for them to accept it as a fact. How many law enforcement agencies in the world currently have an explicit policy against using manipulated media in the solicitation of a confession? Our guess would be: close to zero. With Deepfakes and enough time, you could convince someone of just about anything as long as you can figure out a way to get them to watch your videos. 

https://thenextweb.com/neural/2021/03/23/how-deepfakes-could-help-implant-false-memories-in-our-minds/

 

 Consider, for example, the well-known Mandela effect, the unexplained phenomenon of broadly shared false memories, named after its most famous iteration, that South African politician Nelson Mandela died in jail, a "fact" many people would swear by. These false memories are so entrenched that there is a large segment of the population that would rather believe in a supernatural alteration of the time-space continuum than the possibility that they are misremembering. LINK

METODOLOGIA

this paper has used an analytical framework

In theoretical framework, the author gives an explanation of all the possible related theories of phenomenon (investigated topic). However, the conceptual framework explains what the author actually wanted to test or investigated. An analytical framework, explains the methods through which the author derived the related results. So, all three should be included in the PhD dissertation.


Se emplea una metodología diacrónica en dos  pasos.
En primer lugar,  se realiza  una investigación
bibliográfica longitudinal y se ofrece
una descrip ción histórica, sistémica y descriptiva, con los rasgos más importantes del fenómeno, naturaleza, fun cionamiento y posibles  usos.
En segundo lugar, se realiza una observación científica consciente de más
de medio centenar de vídeos deepfake, para percibir el fenómeno, conseguir una mayor generalización
y garantizar la validez de los resultados.

https://revistas.ucm.es/index.php/CIYC/article/view/68762/4564456553936

Monday, December 21, 2020

Combater com humanos

feb24

As online consumers of information, how do we play a role in the perpetuation and proliferation of deepfakes? What sorts of responsibilities do we have, as the problem of misinformation and disinformation gets worse?

As consumers, we have to consider things like, who is the source of this video, and whether the content is at all plausible given what one knows about the world, and so on. But you also have to ask, what can I as a consumer of information do to make sure that I’m not misled. If you’re going to be a critical consumer of information, then you have to be aware that people can lie to you; they can write false information. In essence: you can’t take videos and photographs as the gold standard, because they’re now just as susceptible to manipulation as anything else. 

https://news.northeastern.edu/2024/02/12/magazine/ai-deepfake-images-online-deception/

dez23

Quando o fotógrafo alemão Boris Eldagsen submeteu a concurso uma imagem supostamente fotográfica que acabou galardoada pelo Sony World Photography Awards , colocou a nu um problema que ultrapassa o da mera distinção formal entre o que é da esfera da fotografia e o que é da arte gráfica. Os atributos de verosimilhança tradicionalmente associados à fotografia foram transpostos para a imagem gerada por IA, evidenciando a facilidade com que até um painel composto por peritos em fotografia pode ser enganado. Existem, em imagens geradas por inteligência artificial, características que poderão denunciar a sua proveniência. As mais evidentes prendem-se com a presença de elementos ou situações que em muito diferem das que existem no mundo real – a presença de um animal selvagem de grandes dimensões numa área densamente urbanizada, por exemplo, pode levantar suspeitas. Luz, sombra ou reflexos que desafiam as leis da física são uma inconsistência comum nas imagens produzidas por IA, assim como distorção ou “interrupção” de elementos que a compõem. A repetição de padrões é também um dos “sintomas” da ainda imperfeita máquina geradora de imagens IA.

https://www.publico.pt/2023/12/12/p3/noticia/fotografia-imagem-gerada-ia-aprende-distinguir-2072804?utm_source=notifications&utm_medium=web&utm_campaign=2072804


os deepfakes piscam os olhos?

Deepfake technology has emerged as a major concern in the age of digital manipulation, raising the need for

effective detection methods. This paper proposes a novel approach to detect deepfakes by leveraging the

physiological response of human eye blinking. Deep fakes, which involve the manipulation of facial features and

expressions, often fail to replicate the natural blinking patterns of real individuals. Our method employs

computer vision techniques and ma chine learning algorithms to analyse the eye blinking patterns of subjects

from video clips and images. We extract key features related to blink frequency. duration, and synchronization

with other facial movements. An extensive dataset comprising real and deepfake videos is used for training and

evaluation, The results demonstrate the effectiveness of the proposed method in distinguishing between real

and deepfake videos. The human eye blinking-based detection approach achieved a high ac curacy rate. Deep

Vision accurately detected Deepfakes in seven out of eight types of videos (87.5% accuracy rate), suggesting we

can overcome the limitations of integrity verification algorithms performed only on the basis of pixels

DEEPFAKES DETECTION USING HUMAN EYE BLINKING

Mr. S.G. Patil*1, Umair Ansari*2, Prithvi Kamble*3, Apurva Shinde*4

*1,2,3,4Dept. Of Computer Science & Engineering, SKN Sinhgad Institute Of Technology, Lonavala, India



set23

The 2024 US presidential election is more than a year away, but we’re starting to see hints of what disinformation campaigns powered by artificial intelligence might look like. Today let’s talk about a deepfake that shook up one recent election, and consider how we should think about the role of fact-checki…

https://www.platformer.news/p/why-fact-checking-fails-to-stop-deepfakes

set23 (não resulta)

A study of people's ability to detect "deepfakes" has shown humans perform fairly poorly, even when given hints on how to identify video-based deceit.

https://phys.org/news/2023-09-humans-easily-deepfakes.html


mai23

Turgal said there are a few things you can watch out for including unnatural eye movement, lack of blinking, pixelation, or a misaligned background.

https://www.lex18.com/how-to-tell-the-difference-between-a-deepfake-video-and-a-real-one


jan23

Speech deepfakes are artificial voices generated by machine learning models. Previous literature

has highlighted deepfakes as one of the biggest threats to security arising from progress in AI due

to their potential for misuse. However, studies investigating human detection capabilities are

limited. We presented genuine and deepfake audio to n = 529 individuals and asked them to

identify the deepfakes. We ran our experiments in English and Mandarin to understand if

language affects detection performance and decision-making rationale. Detection capability is

unreliable. Listeners only correctly spotted the deepfakes 73% of the time, and there was no

difference in detectability between the two languages. Increasing listener awareness by providing

examples of speech deepfakes only improves results slightly. The difficulty of detecting speech

deepfakes confirms their potential for misuse and signals that defenses against this threat are

needed.

Warning: Humans Cannot Reliably Detect Speech Deepfakes

Kimberly T. Mai1,2, Sergi Bray1,2, Toby Davies1, and Lewis D. Griffin2

1Department of Security and Crime Science, University College London

2Department of Computer Science, University College London


out22


“A researcher called Siwei Lyu discovered that deepfakes don't blink,” said Stamm. “He published a paper, and within a week, we started seeing deepfakes in the wild that were blinking. People had [already] figured out how to model this behaviour.”

https://www.itpro.co.uk/security/369243/real-time-deepfakes-are-becoming-a-serious-threat


mar22

Deepfake Training Only Improves Detection 10%


https://securityboulevard.com/2022/03/deepfake-training-only-improves-detection-10/


jan22

Movie director James Cameron says he hopes critical thinking will help people identify deepfake videos. So-called deepfakes use machine learning to modify video footage, usually replacing one person’s face with another, with realistic results. https://timesnewsexpress.com/news/tech/director-james-cameron-on-the-dangers-of-deepfakes/

jan22

As the technology continues to improve and fake videos proliferate, there is uncertainty

about how people will discern genuine from manipulated videos, and how this will affect

trust in online content. This paper conducts a pair of experiments aimed at gauging

the public's ability to detect deepfakes from ordinary videos, and the extent to which

content warnings improve detection of inauthentic videos. In the first experiment, we

consider capacity for detection in natural environments: that is, do people spot deep-

fakes when they encounter them without a content warning? In the second experiment,

we present the first evaluation of how warning labels affect capacity for detection, by

telling participants at least one of the videos they are to see is a deepfake and observing

the proportion of respondents who correctly identify the altered content. Our results

show that, without a warning, individuals are no more likely to notice anything out of

the ordinary when exposed to a deepfake video of neutral content (32.9%), compared

to a control group who viewed only authentic videos (34.1%). Second, warning labels

improve capacity for detection from 10.7% to 21.6%; while this is a substantial increase,

the overwhelming majority of respondents who receive the warning are still unable to

tell a deepfake from an unaltered video. A likely implication of this is that individuals,

lacking capacity to manually detect deepfakes, will need to rely on the policies set by

governments and technology companies around content moderation.

Do Content Warnings Help People Spot a Deepfake? Evidence from Two

Experiments (2022)


jan22

“The fascinating thing about deepfake manipulation compared to other forms of manipulation is that it involves faces. And humans — even babies — tend to be really good at identifying faces,” he told me over the phone. So he and other researchers put together a series of media snippets for humans on the internet to judge. Try it out for yourself! The research found that people are better than AI — but still not very good — at telling deepfakes from genuine videos. When 882 participants were shown side-by-side videos (one real, one deepfake), 82 percent outperformed the winning AI model. Way to go humans! Interestingly, the research participants’ scores didn’t improve with more practice or more time spent. In a more challenging task, participants viewed a single video and guessed whether it was a deepfake or not, moving a slider to report their response ranging from “100% confidence this is NOT a DeepFake” to “100% confidence this is a DeepFake.” Here, the results were different. Only some people, between 13 percent and 37 percent, performed better than the leading AI model. https://www.inputmag.com/tech/are-humans-better-than-ai-at-detecting-deepfakes jan22

People can't distinguish deepfakes from real videos, even if they are warned about their existence in advance, The Independent has reported, citing a study conducted by the University of Oxford and Brown University.One group of participants watched five real videos, and another watched four real videos with one deepfake, after which viewers were asked to identify which one was not real. https://sputniknews.com/20220115/people-cant-distinguish-deepfake-from-real-videos-even-if-warned-in-advance-study-says-1092275613.html

jan22

The recent emergence of deepfake videos raises theoretical and practical questions. Are humans or the leading machine learning model more capable of detecting algorithmic visual manipulations of videos? How should content moderation systems be designed to detect and flag video-based misinformation? We present data showing that ordinary humans perform in the range of the leading machine learning model on a large set of minimal context videos. While we find that a system integrating human and model predictions is more accurate than either humans or the model alone, we show inaccurate model predictions often lead humans to incorrectly update their responses. Finally, we demonstrate that specialized face processing and the ability to consider context may specially equip humans for deepfake detection https://www.pnas.org/content/119/1/e2110013119


 dez20

Ultimately, however, our crisis of information will not be for technology to solve alone. Any technological solutions will be useless unless we humans are able to adapt to this new environment where fake media is commonplace. This will require “inoculation” through digital-literacy and awareness training, but it will also require proactive countermeasures, including cogent policy responses from the government, military and civil groups. It is only with the full mobilisation of society that we will be able to build an overarching resilience to withstand the risks presented by our compromised information ecosystem. Nina Schick is a broadcaster and author of Deep Fakes: The Coming Infocalypse LINK


Finally, all the experts agree that the public needs greater media literacy. “There is a difference between proving that a real thing is real and actually having the general public believe that the real thing is real,” Ovadya says. He says people need to be aware that falsifying content and casting doubt on the veracity of content are both tactics that can be used to intentionally sow confusion.

https://www.technologyreview.com/2019/10/10/132667/the-biggest-threat-of-deepfakes-isnt-the-deepfakes-themselves/

Tuesday, November 10, 2020

Troll (ou desacreditar) + Bullying

nov21

Deepfake videos are the latest cruel form of school bullying – parents and teachers must watch out. Any bully who knows where to look online can make one of the manipulated videos by using free AI apps. Tech firms need to help protect children https://inews.co.uk/news/technology/deepfake-videos-school-bullying-cyberbullying-ai-apps-parents-teachers-children-1290664

Nov20
(qual é a motivação? trolar ou difamar? gozar ou desacreditar?)
Inside truth behind CNN’s ‘Pornhub’ viral US election video 
https://www.heraldsun.com.au/news/inside-truth-behind-cnns-pornhub-viral-video/news-story/ec934d5ac97e2ea3d6c19343a6745224