How can you tell if an algorithm is any good? For University of Michigan assistant professor of information and public policy Ben Green, the answer lies less in accuracy scores, fairness metrics or any other technical measure than in what the system actually does once it’s out in the world. In his new book, Algorithmic Realism: Data Science Practices to Promote Social Justice (MIT Press), he offers data scientists a method for scoping, building and evaluating algorithms in the service of social justice.

In this episode, Tech Policy Press deputy editor Ramsha Jahangir examines the latest developments in Europe’s AI policy debate, from the push for safe, trusted and resilient AI to renewed calls for legislation on AI liability.

Risto Uuk, head of European policy and research at the Future of Life Institute, joins the podcast to discuss the emerging risks and the broader policy landscape. Then, Ramsha interviews Brando Benifei, a Member of the European Parliament, about the gaps left by the withdrawal of the proposed AI Liability Directive, the challenges of assigning responsibility across the AI value chain, and the case for a renewed European approach.

Pennsylvania offers a particular case study in which to consider the political battle over data centers that is playing out across the United States and beyond. A new report from Data & Society, "The AI Factory: Data Centers, Power, and Resistance in Late Industrial Pennsylvania," draws on a year and a half of fieldwork across the state. It examines how boosters sell data centers by invoking Pennsylvania's industrial past, and why so many communities aren't buying the promises made by industry and politicians. Justin Hendrix spoke with Data & Society’s Maia Woluchem and Ana Carolina de Assis Nunes and People’s Tech Project’s Hannah Sassaman about its findings.

It’s a cliché to say that technology is changing war. But today, the pace of change is severe, not only because of advances in fields such as artificial intelligence, but also because of a range of trends and phenomena at the intersection of tech and geopolitics that are changing what it means for nations to compete, and to fight and defend themselves. Today’s guest is Steve Feldstein, a senior fellow in the Democracy, Conflict, and Governance Program at the Carnegie Endowment for International Peace and the author of Bytes and Bullets: Global Rivalries, Big Tech, and the New Shape of Modern Warfare, published by St. Martin’s Press.

In the daily surge of news and headlines about technology, it can be hard for any journalist to fully contextualize the individual events they are reporting on and trace the underlying patterns, structures, and ideas that are producing them. Today’s guest excels at just that, covering one of the most complicated beats in technology journalism. Natasha Singer is a technology reporter for The New York Times, where she has spent more than a decade investigating how tech shapes schools. Her new book is Coding Kids: Big Tech’s Battle to Remake Public Schools, published by W.W. Norton.

On September 23, Tech Policy Press hosted an event at Betaworks in New York City with Gil Durán, the author of The Nerd Reich: Silicon Valley Fascism and the War on Democracy, the New York Times bestselling book published by Simon & Schuster. Alice Marwick, research director at Data & Society, joined the discussion with Justin Hendrix.

Amid a frenzy of headlines about AI safety and just two weeks out from a planned meeting of US President Donald Trump and China’s President Xi Jinping, Justin Hendrix moderated a discussion around the question, what does AI governance actually demand right now? Convened by the the Institute for America, China, and the Future of Global Affairs at the Johns Hopkins School of Advanced International Studies (SAIS) in Washington, D.C., the discussion included Amba Kak from the AI Now Institute, Kat Duffy from the Council on Foreign Relations, Miro Plueckebaum from the Oxford Martin AI Governance Initiative, and Jack Shanahan from SAIS ACF and the Center for a New American Security.

The study of how hate is expressed in digital media and its relationship to offline harassment and violence is a growing field that touches public policy, content moderation and platform policy, AI governance, and a variety of other topics at the intersection of technology and public discourse. This week, a new journal called the Digital Hate Review launched to give a new home to research and discourse on these issues. To learn more, Justin Hendrix spoke to its editor-in-chief, Matthias J. Becker, who has spent 15 years tracking how hate speech evolves online.