The Tech Policy Press Podcast

Across the world, governments and other institutions are racing to apply artificial intelligence in countless ways. In a draft paper forthcoming in the UC Law Journal titled "How AI Destroys Institutions," Boston University law professors Woodrow Hartzog and Jessica Silbey argue that the design of AI systems—from large language models to predictive and automated decision tools—is fundamentally incompatible with the civic institutions that hold democratic society together, including the rule of law, universities, a free press, and civic life itself. This isn't necessarily because AI is being misused or falling into the wrong hands, they say—in most instances AI is working exactly as intended and, in doing so, eroding the expertise, decision-making structures, and human connection that give institutions their legitimacy.

Early this year, following the deaths of Keith Porter, Renee Good, and Alex Pretti at the hands of federal agents and the violent immigration raids on communities across the United States, 1,500 Google workers signed a new petition demanding the company cut contracts with Immigration and Customs Enforcement (ICE) and Customs and Border Protection (CBP).
Justin Hendrix spoke to two of the employees who signed the petition about why they signed it, the environment inside the company, and how they think about the risk they face for speaking out.

Online fraud has become one of the fastest-growing criminal enterprises on the planet. Deepfake fraud cases are surging, and Deloitte analysts project that generative AI-driven banking fraud alone could climb to roughly as much as $40 billion in the US alone by 2027.
The problem is not just the volume. It's the architecture. These are no longer opportunistic scams—they are industrialized, AI-assisted operations, and the synthetic media tools that power them are becoming cheaper and more convincing by the month.
A new report on deepfake financial fraud from Data & Society maps this threat. Justin Hendrix spoke to its authors, including:
Alice Marwick, director of research at Data & Society, and
Anya Schiffrin, co-director of the tech policy and innovation concentration at Columbia University’s School of International and Public Affairs.

Today's guest has spent thirty years on the front lines of one of the defining battles at the intersection of technology and democracy: privacy and the fight for who controls your digital life. Cindy Cohn is the executive director of the Electronic Frontier Foundation (EFF), and she has been in the room for some of the most consequential fights over digital rights since the internet became part of everyday life—from fighting for encryption in the 90s, to the NSA mass surveillance revelations, to battling FBI gag orders that kept Americans in the dark about government data requests, and now for the fight against the grave civil rights and privacy abuses of the Trump administration.
Now, as she’s preparing to step down from her role at EFF, she's telling her story, and trying to recruit a new generation to the fight. Her new book, Privacy's Defender, out March 10 from MIT Press, weaves her personal journey with the legal battles she's fought on behalf of whistleblowers, researchers, innovators, and everyday people.

In their new book, Move Slow and Upgrade: The Power of Incremental Innovation, Evan Selinger, a professor in the Department of Philosophy at Rochester Institute of Technology and Albert Fox Cahn, founder in residence of the Surveillance Technology Oversight Project (STOP), argue that society is over-fixated on disruptive innovation over the kind of steady incrementalism that can deliver sustainable returns over longer time frames. They argue in favor of more careful deliberation and adopting what they call the “upgrader’s mindset,” which should be applied whenever “disruptive changes would pose the greatest social risk.”