Intelligence Squared
Intelligence Squared

Deepfakes and the Infocalypse with Nina Schick and Carl Miller

In this week's podcast Nina Schick speaks to Carl Miller about the rise of Deepfakes and what she believes is an impending 'Infocalypse'. Advances in AI mean that by scanning images of a person (for example using Facebook), a powerful machine learning system can create new video image

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Episode Summary

Executive Summary: Nina Schick argues that deepfakes are the clearest warning sign of an emerging “infocalypse”: a dangerous, untrustworthy information ecosystem where AI makes it easier to fabricate video, audio, and text. She links this to Russian information warfare, domestic political polarization, global harms in the developing world, and personal reputational abuse, while stressing that solutions will require coordinated societal action, not just regulation or tech fixes.

Main Topics: What deepfakes are and why they matter (Priority: 5/5): Schick defines deepfakes as malicious uses of AI-generated or AI-assisted synthetic media, emphasizing that video and audio are becoming the dominant communication formats just as they become easier to fake. The 'infocalypse' and the collapse of trust (Priority: 5/5): The conversation frames the broader problem as a destabilized information ecosystem in which authenticity is harder to verify and shared reality is increasingly fragile. Russian information warfare as a model (Priority: 5/5): Schick describes Russia as a master of information operations, citing historical and contemporary campaigns that exploit social media to inflame divisions across the political spectrum. Domestic politics and ethical normalization (Priority: 4/5): The speakers discuss how tactics once associated with foreign interference are becoming routine campaign tools in Western democracies, raising questions about whether winning is now prioritized over civic cohesion. Global harms beyond the West (Priority: 4/5): Schick highlights severe consequences in places like India, Burma/Myanmar, and Nepal, where weaker institutional safeguards make misinformation and deepfakes potentially far more dangerous. The liar’s dividend and evidence denial (Priority: 4/5): They examine how the existence of deepfake technology can undermine trust in real evidence by allowing bad actors to dismiss authentic video as fabricated. Solutions: building a networked response (Priority: 5/5): Schick argues the problem cannot be solved by one actor alone; it requires technologists, policymakers, human-rights advocates, and civil society to build trust and detection systems together.

Key Arguments: Deepfakes are not just a future threat; they are already here, with non-consensual pornography as an early and harmful use case. The most important danger is not only fake content itself, but the broader erosion of trust in the information ecosystem. Video is now the main medium of communication globally, making synthetic video especially potent for manipulation. Russia has long used information warfare to divide societies; social media simply gives the tactic far more scale and precision. Disinformation operations work on both sides of political divides, not just one ideological camp, by amplifying identity and grievance simultaneously. The impact of disinformation cannot be reduced to who won an election; it also corrupts democratic legitimacy, businesses, and individual reputations. Deepfakes create both direct harm and the 'liar’s dividend,' where real evidence can be dismissed as fake. Western democracies are especially vulnerable because they value free expression but have not yet adapted institutions to the new information environment. The developing world may face even greater danger because people are entering the digital ecosystem with fewer safeguards and less media literacy. There is no silver bullet: combating the infocalypse will require a networked, society-wide response rather than just regulation or platform fixes.

Data Points: Global internet traffic from video content: Over 82% - Schick cites this as evidence that video is becoming the dominant medium just as it becomes easier to manipulate. Time since deepfakes first erupted online: Less than 3 years - She says she first encountered deepfakes only about three years before the interview. Gap between the printing press and modern photography: About 400 years - Used to illustrate how unusually rapid the transition to AI-saturated media has been compared with earlier communication shifts. Countries involved in computational propaganda/influence operations: 70, up from 17 a few years earlier - Schick references Oxford research to show the rapid spread of organized online influence campaigns. Timeline for barriers to entry to fall further: 12 to 18 months - She predicts deepfake creation will become even easier in the near term.

Pivotal Quotes: "this is the herald of what's to come when you can actually fake video and make it look like it's the real deal" — Nina Schick: She explains why her first encounter with deepfakes made her see them as a major shift in disinformation. "our increasingly dangerous information ecosystem that's untrustworthy" — Nina Schick: Her definition of the 'infocalypse' and the broader problem the book addresses. "the liar's dividend" — Nina Schick: She names the phenomenon where the existence of deepfakes lets people deny real evidence by claiming it is fabricated.

Implications: Listeners should expect synthetic media to become cheaper, more realistic, and more influential across politics, business, and personal life. The response must be collective: better detection, public literacy, platform accountability, and policy coordination.

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