How Bellingcat finds the truth in the age of AI
Summary
This episode explores how AI-generated disinformation threatens the integrity of upcoming elections and the role of Bellingcat in combating it. Host Zach Hirsch interviews Bellingcat founder Elliot Higgins about their open-source intelligence model, which trains ordinary people to verify facts using publicly available data. The discussion highlights key investigations, such as the MH17 shootdown and the Renee Good shooting, demonstrating how community-driven verification can outpace traditional institutions. Higgins also addresses the challenges of fragmented social media realities and the …
Topics discussed
The rise of AI-generated fakes and election concerns
AI agents and the problem of viral misinformation
Introducing Bellingcat and open-source intelligence
Show introduction and sponsor segments
Elliot Higgins and the democratization of investigation
The speed gap between social media and institutions
Bellingcat's investigation into MH17
Origins of Bellingcat in conflict zone reporting
Developing repeatable open-source investigation methods
Case study: Verifying the Renee Good shooting
The Bellingcat Discord community and verification process
Moderation and handling bad actors in the community
Building a searchable database of OSINT tools
Legal accountability and use in international courts
Fragmentation of truth and competing realities
Community surges during major events
Conclusion: The value of evidence-based discussion
Promotion of The Record and Cyber Daily
News: Flock safety measures for license plate readers
News: Google's space data center prototype
News: Shiny Hunters hack of the FBI
News: Robots at Vogue World Milan
Credits and final sign-off
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