What happens when the profession dedicated to finding truth collides with a technology that hallucinates? At a panel hosted by Princeton's Program in Journalism and the Center for Information Technology Policy, four journalists and researchers talked through the real effects of AI on newsrooms, from the New York Times to local papers covering 169 Connecticut towns.

Dylan Freedman, AI projects editor at the New York Times, describes how his team used AI to search 400 hours of leaked Zoom recordings before Election Day, and explains why a ChatGPT user in Toronto spent three weeks and over a million words believing he'd made a mathematical breakthrough. Hilke Schellmann, an investigative reporter and NYU professor, explains why fake whistleblowers with AI-generated documents are "a now problem" for journalism. Anjanette Delgado, group managing editor at Hearst Connecticut Media Group, describes using AI to pull comparable data from school budgets that arrive as everything from spreadsheets to PowerPoints with children's drawings. And Madelyne Xiao, a PhD candidate at Princeton and former New Yorker fact-checker, raises the question of what happens when the academic research journalists rely on as primary sources is itself potentially fabricated.

The conversation covers deepfakes, sycophantic chatbots, the security risks of feeding sensitive source material into AI tools, the collapse of activity on developer forums like Stack Overflow, and why one panelist bought a manual typewriter. Moderated by Eliza Griswold, director of Princeton's journalism program.

Recorded March 26, 2026, at the Chancellor Green Rotunda, Princeton University.

Stan Berteloot, a French-American journalist and AI expert, explores the intersection of storytelling, technology, and culture in his podcast, AI in Marketing. As Chief Innovation Officer at Nytro Marketing, Stan delves into AI-driven content creation, offering a monthly roundup of impactful AI insights that transform marketing practices. His unique approach treats AI as a collaborative partner, emphasizing the importance of human expertise in directing AI tools. Stan also candidly discusses the psychological impact of relying on AI, advocating for a balance through engagement with literature and art. Tune in for a deep dive into AI's role in marketing and its broader implications on our cognitive processes.

Stan Berteloot is a French-American journalist, marketing strategist, and AI expert based in Princeton, New Jersey. A University of Maryland journalism graduate, he navigates the intersection of storytelling, technology, and culture.

As Chief Innovation Officer at Nytro Marketing, he pioneered AI-driven content creation, launching the AI in Marketing podcast. He also hosts Back in America, a podcast exploring American identity through in-depth conversations on race, misinformation, and AI ethics.

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As Chief Innovation Officer at Nytro Marketing, he pioneered AI-driven content creation, launching the AI in Marketing podcast. He also hosts Back in America, a podcast exploring American identity through in-depth conversations on race, misinformation, and AI ethics.

The Monthly Signal: AI in Marketing
A monthly roundup of the most salient, most read, most liked, and most consequential AI in marketing insights, with a focus on what actually changes how you work.

→ Subscribe here

Enjoy the show? Leave AI in Marketing a five-star rating — it takes ten seconds and helps more people find the podcast.

Start your VoiceStream free trial today!

If you're trying to get on more podcasts, PodMatch.com connects you directly with hosts who are actively looking for guests.

📚 Sources:

• https://www.nytromarketing.com/