The Tech Policy Press Podcast

How can human rights and social justice advocates and investigators protect their data and technology infrastructure in an age of rising authoritarianism in the United States and abroad? Earlier this month, a coalition of human rights, justice, and data organizations launched the Technology Freedom Cooperative, a project designed to help nonprofit organizations protect evidence, reduce their dependence on big tech platforms, and "build independent capacity to work with large language models." Justin Hendrix spoke to two of its members, Maheen Khan, director of technology at the Invisible Institute, and Patrick Ball, director of research at HRDAG.

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.

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 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:James Ball, a journalist and fellow at Tech Policy Press;Gavin Freeguard, the founder director of a new think tank called State of the Future; andRachel Coldicutt, the founder and executive director of Careful Industries.

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:Vinh Nguyen, a senior fellow for AI at the Council on Foreign Relations and the former chief responsible AI officer and chief data scientist for operations at the National Security Agency (NSA), andGraham Webster, a lecturer and research scholar in the Program on Geopolitics, Technology, and Governance at Stanford University, where he leads the DigiChina Project.