The Tech Policy Press Podcast

On Thursday, Reuters tech reporter Jeff Horwitz, who broke the story of the Facebook Papers back in 2021 when he was at the Wall Street Journal, published two pieces, both detailing new revelations about Meta’s approach to AI chatbots.

In a Reuters special report, Horwitz tells the story of a man with a cognitive impairment who died while attempting to travel to meet a chatbot character he believed was real. And in a related article, Horwitz reports on an internal Meta policy document that appears to endorse its chatbots engaging with children “in conversations that are romantic or sensual,” as well as other concerning behaviors.

Earlier today, Justin Hendrix caught up with Horwitz about the reports and what they tell us about Silicon Valley’s no holds barred pursuit of AI, even at the expense of the safety of vulnerable people and children.

Daniel J. Solove is the Eugene L. and Barbara A. Bernard Professor of Intellectual Property and Technology Law at the George Washington University Law School. The project of his latest book, On Privacy and Technology, is to synthesize twenty five years of thinking about privacy into a “succinct and accessible” volume and to help the reader understand “the relationship between law, technology, and privacy” in rapidly changing world. Justin Hendrix spoke to him about the book and how recent events in the United States relate to his areas of concern.

Through To Thriving is a a special series of podcast episodes hosted by Tech Policy Press fellow Anika Collier Navaroli. With her guests, Anika is imagining futures beyond our current moment. For this episode, she spoke with Nora Benavidez, senior counsel and director of digital justice and civil rights at the nonprofit Free Press. Anika and Nora discussed the past and present state of platform accountability advocacy, the steps of building a campaign, the possibility of forming a creative agency to support advocates, and what to make of so called “woke AI.”

This episode and conversation about advocating for change is dedicated to the memory and life of our former colleague and tech accountability researcher and advocate Brandi Collins-Dexter.

On Saturday, July 26, three days after the Trump administration published its AI action plan, China’s foreign ministry released that country’s action plan for global AI governance. As the US pursues “global dominance,” China is communicating a different posture. What should we know about China’s plan, and how does it contrast with the US plan? What's at stake in the competition between the two superpowers?

To answer these questions, Justin Hendrix reached out to a close observer of China's tech policy.  Graham Webster is a lecturer and research scholar at Stanford University in the Program on Geopolitics, Technology, and Governance, and he is the Editor-in-Chief of the DigiChina Project, a "collaborative effort to analyze and understand Chinese technology policy developments through direct engagement with primary sources, providing analysis, context, translation, and expert opinion." Webster attended the World Artificial Intelligence Conference in Shanghai.

Yesterday, United States President Donald Trump took to the stage at the "Winning the AI Race Summit" to promote the administration's AI Action Plan. Shortly after it was published, Tech Policy Press editor Justin Hendrix sat down with Sarah Myers West, the co-director of the AI Now Institute; Maia Woluchem, the program director of the Trustworthy Infrastructures team at Data and Society; and Ryan Gerety, the director of the Athena Coalition, to discuss the plan and what it portends for the future.

This weekend, the Americans with Disabilities Act (ADA) turns 35. Signed into law on July 26, 1990, the law provides broad anti-discrimination protections for people with disabilities in the US, and has impacted how people with disabilities interact with various technologies. To discuss how the law has aged and what the fight for equity and inclusion looks like going forward, Tech Policy Press fellow Ariana Aboulafia spoke with three leaders working at the intersection of disability and technology:

• Maitreya Shah is the tech policy director at the American Association of People with Disabilities.
• Blake Reid is a professor at the University of Colorado.
• Cynthia Bennett is a senior research scientist at Google.

Tech Policy Press fellow Anika Collier Navaroli is the host of Through to Thriving, a special podcast series where she talks with technology policy practitioners to explore futures beyond our current moment. For this episode, Anika spoke with two experts on Trust & Safety about balance and resilience in a notoriously difficult field. 

• Alice Hunsberger is the head of Trust & Safety at Musubi, a firm that sells AI content moderation solutions.
• Jerrel Peterson is the director of content policy at Spotify.

Hunsberger and Peterson discussed how they broke into the field, their observations about the current state of the industry, how to better the working relationship between civil society and industry, and their advice for the next generation of practitioners.

Last week, following months of negotiation and just weeks before the first legal deadlines under the EU AI Act take effect, the European Commission published the final Code of Practice on General-Purpose AI. The Code is voluntary and intended to help companies demonstrate compliance with the AI Act. It sets out detailed expectations around transparency, copyright, and measures to mitigate systemic risks. Signatories will need to publish summaries of training data, avoid unauthorized use of copyrighted content, and establish internal frameworks to monitor risks. Companies that sign on will see a “reduced administrative burden” and greater legal clarity, the Commission said. At the same time, both European and American tech companies have raised concerns about the AI Act’s implementation timeline, with some calling to “stop the clock” on the AI Act’s rollout.

To learn more, Tech Policy Press associate editor Ramsha Jahangir spoke to Luca Bertuzzi, senior AI correspondent at MLex, to unpack the final Code of Practice on GPAI, why it matters, and how it fits into the broader rollout of the AI Act.

In the United States, state legislatures are key players in shaping artificial intelligence policy, as lawmakers attempt to navigate a thicket of politics surrounding complex issues ranging from AI safety, deepfakes, and algorithmic discrimination to workplace automation and government use of AI. The decision by the US Senate to exclude a moratorium on the enforcement of state AI laws from the budget reconciliation package passed by Congress and signed by President Donald Trump over the July 4 weekend leaves the door open for more significant state-level AI policymaking.

To take stock of where things stand on state AI policymaking, Tech Policy Press associate editor Cristiano Lima-Strong spoke to two experts:

• Scott Babwah Brennen, director of NYU’s Center on Technology Policy, and
• Hayley Tsukayama, associate director of legislative activism at the Electronic Frontier Foundation (EFF).

Helen Nissenbaum, a philosopher, is a professor at Cornell Tech and in the Information Science Department at Cornell University. She is director of the Digital Life Initiative at Cornell Tech, which was launched in 2017 to explore societal perspectives surrounding the development and application of digital technology. Her work on contextual privacy, trust, accountability, security, and values in technology design led her to work with collaborators on projects such as TrackMeNot, a tool to mask a user's real search history by sending search engines a cloud of ‘ghost’ queries, and AdNauseam, a browser extension that obfuscates a user’s browsing data to protect from tracking by advertising networks.

Building on such projects, in 2015, she coauthored a book with Finn Brunton called Obfuscation: A User’s Guide for Privacy and Protest. The book detailed ideas on mitigating and defeating digital surveillance. With concerns about surveillance surging in a time of rising authoritarianism and the advent of powerful artificial intelligence technologies, Justin Hendrix reached out to Professor Nissenbaum to find out what she’s thinking in this moment, and how her ideas can be applied to present day phenomena.