When seeing is no longer believing: perils and possibilities in a world of synthetic media

When seeing is no longer believing: perils and possibilities in a world of synthetic media


Data

Sab 18 aprile 2026

Ora inizio

16:00

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Media and political discourse have been replete with warnings about how generative AI could worsen the misinformation problem and people’s trust in information. A common argument is that people will stop trusting anything they see and hear because state-of-the-art AI systems can be used to create content that is so realistic that it destroys any hope of a shared reality. The public clearly shares this concern, with a majority of people in various countries worrying about their ability to tell what is real from what is fake, and many saying that they find it more difficult to know what they can trust, according to recent surveys.
At the same time, we seem to be dealing with a paradox: despite the widespread availability and accessibility of such AI and the growing amount of synthetic content online, trust in various institutions and media, including the news, hasn’t fallen off a cliff. While many people report that they have become more sceptical of the information they encounter, people still trust some things. And while the realism of media might no longer act as the best heuristic for assessing whether something is true, it still is a yardstick by which people assess news reports but also information they receive from friends, family, or experts and institutions. In other words, realism is one part of the equation when it comes to making sense of information but it is not the be-all and end-all, as pre-existing biases, the source, and other factors all play a role in where people place their trust.
This panel will investigate this conundrum and ask what has and hasn’t changed with the arrival of AI capable of creating highly realistic synthetic media. Is realism really dead, and do we need to distrust everything we see and hear? How are people and institutions coping? What new norms and behaviours, if any, do we need to navigate this more complex world? Who is (or should be) responsible for upholding our epistemic infrastructures? And what chances does this new situation present to those in the business of providing factual and trustworthy information?
Moderated by Felix Simon.


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Sam Gregory
Sam Gregory

Sam Gregory is an internationally recognized human rights advocate and technologist, who helps ensure we are better prepared globally for deepfakes and deceptive generative AI. He is an expert on innovations in preserving trust, authenticity and evidence in an era of increasingly complex audiovisual communication and deception, who has testified to both the US House and Senate on AI and synthetic media and is a TED speaker on how to prepare better for the threat of deepfakes. In 2018, he initiated WITNESS’s Prepare, Don’t Panic initiative around deepfakes and multimodal generative AI - the first globally focused effort to ground these technologies in realities of frontline journalists and human rights defenders and which has directly influenced platform policies, emerging technologies for trust such as the C2PA and public discussion of who and what to prioritize. WITNESS also leads a Deepfake Rapid Response Force providing expert media forensic analysis of real and claimed high pub...

Tai Nalon
Tai Nalon

Tai Nalon is co-founder and the executive director of Aos Fatos, an award-winning organization based in Brazil focused on tech-driven journalism to combat disinformation. With 15 years in the journalism industry, she oversees a team of 20+ professionals, among journalists, developers, OSINT experts, and data scientists divided into three key areas: editorial, technology, and innovation. Tai has been recognized as one of the most innovative leaders in journalism by fundraising, developing, and managing creative projects that tackle misinformation while also publishing relevant investigations on the role digital platforms and politicians play in Brazilian democracy. She leads the team that won the 2020 Gabriel García Márquez Award on Innovation; the 2020 Digital Media LATAM for best digital project; the 2019 Claudio Weber Abramo Brazilian Data Journalism Awards on Innovation; and was a finalist for the 2019 Online Journalism Awards on General Excellence for micro-newsrooms. She work...

Felix Simon
Felix Simon

Felix M. Simon is a journalist, communication researcher, and doctoral student at the Oxford Internet Institute (OII), a Knight News Innovation Fellow at Columbia University’s Tow Center for Digital Journalism, and an affiliate at the Center for Information, Technology, and Public Life (CITAP) at the University of North Carolina at Chapel Hill. He also works as a research assistant at the Reuters Institute for the Study of Journalism (RISJ) and regularly writes and comments on technology, media, and politics for various international outlets. As a member of the Leverhulme Doctoral Centre “Publication beyond Print”, he is currently researching the implications of AI in journalism and the news industry, jointly supervised by Prof Ralph Schroeder and Prof Ekaterina Hertog and formerly supervised by Prof Gina Neff. His doctoral project is generously funded by the Leverhulme Trust and an OII-Dieter Schwarz Foundation doctoral award. More specifically, his research seeks to understand th...

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