Anuli Akanegbu is featured in this event about the evolving relationship between data, design, and human perception — which we presented in collaboration with the High Museum of Art and Atlanta Interdisciplinary Artificial Intelligence Network. Read on High Museum of Art

Tamara Kneese and Maia Woluchem cut through lobbying points and speculative myths to focus on what the evidence reveals about the tech industry’s claims. Read more

Read on NYU Center for Technology Policy

Read on NBC News

On This Machine Kills, Director of Research Alice Marwick talks about how generative AI is unleashing a new world of scams and fraud. Read on This Machine Kills

The Trump administration’s “strategy for achieving AI primacy depends on imperial overreach and the unchecked expansion of executive power…. prioritizing predation over effective governance,” Policy Director Brian J. Chen writes. Read on Project Syndicate

Tamara Kneese and Emma Strubell recommend that approaches to measuring AI’s environmental impacts consider the use cases that are driving energy consumption, and how data centers impact communities. Read on Federation of American Scientists

When you hear someone advocating for acceleration, ask: accelerating toward what? Today’s techno-accelerationists want us to rush forward into a political order that explicitly favors their interests, writes D&S’s Jacob Metcalf Read on Tech Policy Press

This primer explores why public agencies do not typically look to affected people for input on technology design, and explains why technology purchasing will be a focal point for needed change. Read more

Anuli Akanegbu explains why the city of Atlanta is the focus of her research on labor, race, and tech. In this city, "the contradictions of our techno-futures are not hypothetical; they’re lived," she writes. Read on Points