

Tarbell Center for AI Journalism
We support journalism that helps society navigate the emergence of increasingly advanced AI.
Building a global community of expert journalists.
Tarbell Fellowship
The Tarbell Fellowship is a one-year program for early-career journalists interested in covering artificial intelligence.
Fellows secure a 9-month placement at a major newsroom, participate in an 10-week study group covering AI governance & technical fundamentals, and attend a week-long journalism summit in San Francisco. The Tarbell Fellowship provides a stipend of $50,000 to support these placements.
The program incorporates expert speakers, feedback & mentorship from experienced journalists and networking events with experts from leading AI organizations. Upon graduation, we expect fellows to bring their impact-focused perspective to major newsrooms and publications around the globe.
Placements include TIME Bloomberg, The Guardian, MIT Tech Review, The Bureau of Investigative Journalism, and many more.
Grants
Tarbell Grants offers awards of $1,000 - $10,000 (or more) to support journalism on AI and its impacts.
We aim to enable established journalists to pursue original, forward-looking stories, examining how today’s technical advancements, adoption, and policy decisions lay the groundwork for how artificial intelligence will shape our future. We're particularly interested in enabling journalists to investigate frontier AI companies, scrutinize AI policymaking, examine the integration of AI in governments and militaries, and explore how increasingly capable systems might reshape society.

Residencies
Our Journalist in Residence programme provides experienced journalists with the stability necessary to work on longer investigations, explore entrepreneurial projects, and dive deep into artificial intelligence.
Our two inaugural journalists-in-residence previously worked at The New York Times and The Economist. One has since gone on to steer The Information's AI coverage, while the other has built an independent newsletter read by many of the most important people in AI policy.

