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Days into a bellwether trial brought by four states, Meta reached a settlement with a bipartisan coalition of state attorneys general to resolve their claims, agreeing to pay up to ~$17 billion and to make a series of teen-safety changes to Instagram and Facebook.
The day after the settlement was announced, Tech Policy Press convened a live podcasting recording with to assess the settlement and its implications. Expert guests included:
This month, in partnership with Type Investigations, MIT Technology Review published a feature titled “How ideas of a vast censorship network moved from the online fringe to Trump policy.” It considers the emergence and impact of the narrative that revolves around the idea of the “censorship industrial complex,” and how a network of aligned right wing actors collaborate to build that narrative. It also details the impact on civil society groups and independent technology researchers who have been targeted with lawsuits, investigations, visa restrictions, and various forms of harassment for their work.
This week, Justin Hendrix spoke to two of the authors of the piece about what they learned reporting it, and where the story might go next: Eileen Guo, MIT Technology Review senior reporter for features and investigations, and open source investigative reporter Gisela Perez de Acha.
Headed into the US midterm elections season, the information environment continues to evolve. Millions of people now use AI chatbots, both to retrieve information about elections and to create it. Last week, the Brennan Center for Justice put out an expert brief tackling the question, “Does AI Fight or Fuel Election Disinformation?” Justin Hendrix spoke to one of its authors, Lawrence Norden, vice president of the Elections and Government Program at the Brennan Center.
The midterm election cycle is heating up in the United States, and there are important elections set to take place soon in Brazil, Israel, Sweden, and beyond. AI will be a factor in these elections, offering a new set of tools and techniques for campaigns to try to reach voters. Laura Karpas looked into one new technique that campaigns may try this cycle—focus groups among panels of synthetic voters. She spoke to one researcher who has considered the question of when and how such simulated evidence can be used in campaign research, and another who wonders what the implications may be for the complex interaction between political leaders and public opinion.
The rise of the tech oligarchy threatens democracy in the United States and abroad. In his new book, United States of Oligarchy, Casey Michel—author, journalist, and director of the Combating Kleptocracy Program with the Human Rights Foundation—tells the story of how a small set of extremely wealthy individuals claimed the commanding heights of American government and is making the world safe for authoritarians, and what will be necessary to break their grip.
The United Kingdom has a new prime minister, and he has already moved to put his mark on tech policy—scrapping a scheme for digital ID, shuttering the Department of Science, Innovation, and Technology (DSIT), shifting the Government Digital Service (GDS) to the Department of Culture, Media, and Sports, and reshuffling responsibility for AI policy.
To learn more about how the table is being set under Prime Minister Andy Burnham, Justin Hendrix spoke to three individuals who are following these matters closely:
From Tamagochis to AI companions, generations of machines have been designed to push on our “evolutionary buttons”—ones that ask us to respond to their needs. In this episode, audio reporter Laura Karpas speaks to researchers including the Center for Democracy and Technology's Michal Luria and Harvard Business School's Julian De Freitas to explore the dark patterns in AI companions, and what happens when users go to say “goodbye.”
On July 16, Hugging Face, a company that provides a platform for AI models, datasets, and other machine learning applications, posted a “security incident disclosure” to its blog about an “intrusion” into its infrastructure. But this was no typical hack. The company said “it was driven, end to end, by an autonomous AI agent system,” matching what it said is the “‘agentic attacker’ scenario the industry has been forecasting.”
A few days later, OpenAI posted to its blog that the agent was in fact “driven by a combination of OpenAI models” with “reduced cyber refusals for evaluation purposes — while being internally tested on a benchmark of cyber capabilities.”
To try to better understand these developments and their implications for the US and international debates over AI governance, Justin Hendrix spoke to two individuals who are following the details closely:
Across the world, despots and and wannabe dictators are deploying new tools, both legal and technological, to stifle dissent and oppress. Today’s guest is Jonathon W. Penney, the author of Chilling Effects: Repression, Conformity, and Power in the Digital Age, a book from Cambridge University Press that explores the weaponization of surveillance, censorship, and technologies of control and offers a roadmap for the reforms necessary to push back.
At Tech Policy Press, we’ve monitored the massive influx of money into the Department of Homeland Security to support the Trump administration’s brutal and increasingly lawless immigration crackdown. Last month saw the publication of a report commissioned by Mijente, Just Futures Law, and Surveillance Resistance Lab titled "The Tech Behind Ice: Oligarchs, Immigration Enforcement, and the Threat to Democracy." Tech Policy Press contributing editor Dean Jackson spoke to two of the report’s authors—Surveillance Resistance Lab founder and executive director Mizue Aizeki and Just Futures Law founding executive director Paromita Shah—about what billions in tech investment is buying DHS and its component agencies, and what is necessary to reverse the authoritarian trajectory the country is on.
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