WITNESS helps people use video and technology to protect and defend human rights. Our Technology Threats and Opportunities Team engages early on with emerging technologies that have the potential to enhance or undermine our trust on audiovisual content. Building upon years of foundational research and global advocacy on synthetic media, we’ve been preparing for the impact of AI on our ability to discern the truth. In consultation with human rights defenders, journalists, and technologists on four continents, we’ve identified the most pressing concerns and recommendations on what we must do now.
WITNESS helps people use video and technology to protect and defend human rights. Our Technology Threats and Opportunities Team engages early on with emerging technologies that have the potential to enhance or undermine our trust on audiovisual content. Building upon years of foundational research and global advocacy on synthetic media, we’ve been preparing for the impact of AI on our ability to discern the truth. In consultation with human rights defenders, journalists, and technologists on four continents, we’ve identified the most pressing concerns and recommendations on what we must do now.
WITNESS’ Raquel Vazquez Llorente argues that democracy faces ‘old, new, and borrowed’ challenges in the deepfake era, where existing inequalities may be exacerbated and inconvenient truths dismissed by those in power. She argues that an inclusive and human-rights based approach to AI development can help us to overcome past mistakes and safeguard democracy.
While generative AI and synthetic media have creative and commercial benefits, these tools are connected to a range of harms that are disproportionately impacting vulnerable communities. This article via TechPolicy – recently featured in President Obama’s AI reading list – explores how legislators can center human rights by drawing from the thinking of human rights organizations and professionals with regard to transparency, privacy, and provenance in audiovisual content.
WITNESS’ Raquel Vazquez Llorente joined an expert panel at the 2023 Obama Foundation Democracy Forum to discuss the challenges and opportunities of AI for a healthy democracy. Fellow panelists included: Alondra Nelson, Harold F. Linder Professor at the Institute for Advanced Study; Anna Makanju, OpenAI’s Vice President of Global Affairs; Hany Farid, Professor at University of California, Berkeley; Terah Lyons, Founding Executive Director of the Partnership on AI.
On Sept 12th WITNESS’ Executive Director, Sam Gregory, presented testimony to the US Senate Subcommittee on Consumer Protection, Product Safety & Data Security on “The Need for Transparency in Artificial Intelligence.” The testimony, which can be read here, focused on how to optimize the benefits and minimize the harms and risks from multimodal audiovisual generative AI.
On Nov 8th WITNESS’ Executive Director, Sam Gregory, presented testimony to the US House Committee on Oversight and Accountability, Subcommittee on Cybersecurity, Information Technology, and Government Innovation on “Advances in Deepfake Technology.” The testimony, which can be read here, focused on how to optimize the benefits and minimize the harms and risks from multimodal audiovisual generative AI.
What are the ethics of using Deep Fakes to anonymize sources in non-fiction media? What are the layers of consent that require consideration? What are the futures, the risks, and the opportunities of these types of manipulations? What strategies can non-fiction media makers (journalists, documentarians, and artists) implement to navigate the complex landscape of these technologies? See this conversation that includes WITNESS’ Raquel Vazquez
WITNESS recently hosted in Nairobi, Kenya, and in Bogotá, Colombia, journalists, fact-checkers, technologists, policy advocates, creators, human rights defenders and community activists from different parts of the two continents. In these workshops, we discussed threats and opportunities that deepfakes, generative AI and synthetic media bring to audiovisual witnessing, identifying and prioritising collective responses that can have a positive impact in the information landscape.
Read our blog with key threats, opportunities and responses identified. Or read the full report of the workshop.
Read our blog with key threats, opportunities and responses identified. Or read the full report (Spanish) of the workshop.
Read our blog in Spanish here.
If you want to be part of the conversation, or have suggestions for collaborations, please get in touch with us via email.
With the progress of generative AI technologies, synthetic media is getting more realistic. We therefore see growing demand for AI detection tools that can determine whether a piece of audio and visual content has been generated or edited using AI. This piece discusses some of the limitations of detection tools and how to decide when to use them.
As policymakers and regulators grapple with the complexities of a media landscape that features both AI generated and non-synthetic content (and the mix of both), there is much to be learned from the human rights field. In this piece we overview how legislators can center human rights in their efforts to regulate generative AI.
This article talks about the need to ‘fortify the truth’ by fostering resilient witnessing practices that can ensure trustworthy videos and strengthen narratives of vulnerable communities. It identifies and speculates on actions at tactical, strategic, tools, technology, and policy levels, drawing upon human rights organization WITNESS’s work on proactive preparation for emerging technologies and technical infrastructures.
Generative AI can protect witnesses’ identities, visualize survivors’ testimonies, reconstruct places & create political satire. Check out our blog about using generative AI and synthetic media for human rights advocacy, the ethical challenges it poses and the questions that organizations can ask
This article discusses the use of provenance technologies as a way to trust video in the age of generative AI. It touches on the myths and realities that should be considered by those developing these technologies. Read the full article in Commonplace.
Around the world, deepfakes are becoming a powerful tool for artists, satirists and activists. But what happens when vulnerable people are not “in on the joke,” or when malign intentions are disguised as humor? Read this report that focuses on the fast-growing intersections between deepfakes and satire. Who decides what’s funny, what’s fair, and who is accountable?
This report focuses on 14 dilemmas that touch upon individual, technical and societal concerns around assessing and tracking the authenticity of multimedia. It focuses on the impact, opportunities, and challenges this technology holds for activists, human rights defenders and journalists, as well as the implications for society-at-large if verified-at-capture technology were to be introduced at a larger scale. Read the full report.
The Partnership on AI’s
Glossary for Synthetic Media Transparency Methods provides definitions around a number of key synthetic media transparency terms. WITNESS took part in a series of workshops that PAI ran and directly fed into the creation of this glossary.
WITNESS co-chairs the Threats and Harms task force of the C2PA, where it leads the harm assessment of these specifications designed to track the source and history of multimedia across devices and platforms. WITNESS has influenced this and related initiatives at an early stage to empower critical voices globally and bolster a human rights framework. Read our blog.
Provenance and authenticity tools would enable you to show a range of information about how, where and by whom a piece of media was created, and how it was subsequently edited, changed and distributed. Check this video series out to know more about provenance and authenticity, the C2PA standards and how we may fortify truth for accountability and awareness.
Deepfakery is a series of critical conversations exploring the intersection of satire, art, human rights, disinformation, and journalism. Join WITNESS and the Co-Creation Studio at MIT Open Documentary Lab for interdisciplinary discussions with leading artists, activists, academics, film-makers and journalists. See the full series here.
Our submission covers a number of risks with current approaches to AI transparency, including indirect disclosure mechanisms such as watermarking, fingerprinting, and signed metadata. We also highlight the importance of centering the experience of those at the frontlines of human rights and democracy, as well as risks and limitations of current AI detection tools and share what we have learned through our experience working with leading AI detection experts.
WITNESS evidence to the UK Communications and Digital Committee, Lords Select Committee Inquiry into Large Language Models. This submission responds to questions about opportunities and risks over the next three years, and how to address the risk of unintended consequences. It also puts forward a set of recommendations, based on our long standing work with industry, academia and civil society to guard against the risks of large language models.
Our submission to the USA President’s Council of Advisors on Science and Technology (PCAST) Working Group on Generative AI puts forward a set of recommendations on how to identify and promote the beneficial deployment of generative AI, as well as how to best mitigate risks.
Our submission to the US Office of Science and Technology Policy Request For Information focuses on WITNESS’ recommendations to ensure that global human rights laws and standards are baked into the design, development and deployment of generative AI into societies across the globe.
Our submission to the US National Telecommunications and Information Administration (NTIA) focuses on our guiding principles for developing AI accountability mechanisms, in particular in relation to synthetic media. We provide examples of how watermarking, labelling and provenance technologies can help inform people about how AI tools are operating, and why these approaches need to be grounded in internationally recognized human rights laws and standards.
Large social media platforms are developing tools to detect synthetic media. For these detection tools to be effective, they need to be trained on data that reflects as much as possible real situations. In this advisory opinion to the European Commission, we outline how the DSA can help study and mitigate social media-related risks in human rights crises and conflict.
This submission shares WITNESS’s views on the relationship between human rights and
technical standard-setting processes for new and emerging digital technologies. This document
is shaped by our three decades of experience helping communities advocate for human rights
change to create trustworthy information, to protect themselves against the misuse of their
content, and to challenge misinformation that targets at-risk groups and individuals.
[WIRED] Worried About Political Deepfakes? Beware the Spread of ‘Cheapfakes’
[WIRED] Generative AI Learned Nothing From Web 2.0
[Bloomberg] Facebook’s Tolerance for Audio Deepfakes Is Absurd
[The Messenger] ‘It’s an Arms Race’: How We’re Already Losing The Battle to Stop Harmful AI Fakes
[FT] Deepfakes for $24 a month: how AI is disrupting Bangladesh’s election
[NYT] The 2024 Election Will Be Unlike Any Other. Is the Media Ready?
[WIRED] Slovakia’s Election Deepfakes Show AI Is a Danger to Democracy
[THE VERGE] Watermarks aren’t the silver bullet for AI misinformation
[WashPost] AI fake nudes are booming. It’s ruining real teens’ lives
[WIRED] A Doctored Biden Video Is a Test Case for Facebook’s Deepfake Policies
[rest of world] An Indian politician says scandalous audio clips are AI deepfakes.
[The New Yorkerl] Will Biden’s Meetings with A.I. Companies Make Any Difference?
[The Atlantic] The AI Crackdown Is Coming
[WIRED] The Thorny Art of Labeling
[NPR] AI-generated images are everywhere. Here’s how to spot them
[The Hill] To battle deepfakes, our technologies must track their transformations
[FT] TikTok urged to preserve Ukraine content for war crime investigations
[BBC Radio 4] An end to deepfakes? (Positive Thinking podcast)
[Nieman Lab] Synthetic media forces us to understand how media gets made
[WSJ] China, a Pioneer in Regulating Algorithms, Turns Its Focus to Deepfakes
[The Economist] Proving a photo is fake is one thing. Proving it isn’t is another
[Washington Post] Fake images of Trump arrest show ‘giant step’ for AI’s disruptive power
[Opinio Juris] Coding Justice? The Tradeoffs of Using Technology for Documenting Crimes in Ukraine
Since 2018, WITNESS has been raising awareness about how emerging technologies can impact on people’s trust in audiovisual content. Check out our video archive to watch years’ worth of our video interviews, panels, and presentations on deepfakes, synthetic media, and more.
