Uncovering AI’s Human Cost: A Non-Technical Toolkit for Investigative Reporters

Holding AI systems accountable can seem overwhelming due to the complexity of the technology. But not all investigations into AI require a high level of technical ability. Countless stories about AI are first and foremost about people —those who make the technology, those who deploy it and, perhaps most importantly, those who are harmed by it.

In this workshop organized by the Pulitzer Center and GIJN, participants were introduced to a framework that breaks down each development stage of AI into an area of coverage and learn about how they can find and report stories within each one. Students learned with methods and approaches on how to tackle their own AI accountability stories and learn from low-tech examples that yielded high impacts.

Watch the Zoom training here.

Speaker’s bio: Lam Thuy Vo is a journalist who marries data analysis with on-the-ground reporting to examine how systems and policies affect individuals. She is currently an investigative reporter working with Documented, an independent, non-profit newsroom dedicated to reporting with and for immigrant communities, and an associate professor of data journalism at the Craig Newmark Graduate School of Journalism. Previously, she was a journalist at The Markup, BuzzFeed News, The Wall Street Journal, Al Jazeera America and NPR’s Planet Money.