Tech Policy Press is a nonprofit media and community venture intended to provoke new ideas, debate and discussion at the intersection of technology and democracy.
You can find us at https://techpolicy.press/, where you can join the newsletter.
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Tech Policy Press is a nonprofit media and community venture intended to provoke new ideas, debate and discussion at the intersection of technology and democracy.
You can find us at https://techpolicy.press/, where you can join the newsletter.
Each year, Tech Policy Press makes it a priority to cover the findings of the annual Freedom on the Net report from Freedom House, a nonprofit organization founded in 1941 to advance democracy and human rights. This year, Justin Hendrix was invited to moderate a panel discussion at an event to mark the launch of the report. This episode features audio from that Oct. 22 event, with experts including:
The United States midterm election season proved that tech policy is no longer a side issue in American elections. AI, data centers and the political power of Big Tech and oligarchs like Elon Musk are now things candidates have to take a position on — and voters are paying close attention. After the polls closed on Tuesday, Democrats posted sweeping wins up and down the ballot. If their victory speeches are any indication, efforts to hold Big Tech accountable and to address data centers and AI governance will continue to be defining issues in Washington, D.C., and in state capitols across the country.
To unpack what the election results could mean for the future of US tech policy, Tech Policy Press pulled together a live podcast discussion with guests including Alexandra Reeve Givens,CEO of the Center for Democracy & Technology; Robert Weissman, co-president of Public Citizen; and Brian J. Chen, policy director at Data & Society.
Europe says it needs more data centers to power its AI ambitions, but their rapid expansion is raising questions about energy, water, labor conditions and who gets a say in where they are built. As the European Commission marks European AI Innovation Month, Tech Policy Press Deputy Editor Ramsha Jahangir speaks first with three of the organizers behind this weekend’s protests in 15 European countries: Owen Espley of Global Action Plan (UK), Aurora Gómez of Tu Nube Seca Mi Río (Spain) and Rosi Leonard of Friends of the Earth Ireland, who want a moratorium on new projects.
She then turns to two journalists investigating the industry: Mei-Ling McNamara of Investigate Europe, whose reporting with Tech Policy Press and other media partners exposed labor abuses on construction sites, and Daniel Howden of Lighthouse Reports, which has filed a legal challenge under the Aarhus Convention over EU secrecy about data centers’ environmental costs. Together they ask who gets to shape Europe’s digital future, who pays for it and who holds the industry accountable.
On Oct. 6, the Privacy Center at Georgetown Law hosted Life After Data: The Conference on De-datafication, which asked participants to imagine a future in which digital data is no longer the currency that mediates our social, economic and political lives — and how we might get there.
One provocation on the program asked whether it might make sense, now or someday, to abandon the internet itself. Tech Policy Press put that question to its readers, inviting two-minute voice memos in response. In this episode, produced by Rebecca Rand, you’ll hear from author and media theorist Douglas Rushkoff; Craig Newmark Center for Journalism Ethics and Security at Columbia Journalism School director Anika Collier Navaroli; Bridget Todd, author and host of iHeartRadio’s “There Are No Girls on the Internet”; Konstantinos Komaitis, resident senior fellow at the Atlantic Council; Caddie Alford, associate professor of rhetoric at Virginia Commonwealth University, who shared her students’ responses; Janet Vertesi, associate professor of sociology at Princeton; Alice Marwick, director of research at Data & Society; Liz Orembo of Research ICT Africa; Robin Berjon of the Modal Foundation; and B Cavello, director of emerging technologies at the Aspen Institute.
Tech Policy Press and the Privacy Center at Georgetown Law are hosting a series of events dubbed The Edge Dialogues. The goal is to discuss ideas a are upstream of typical tech policy debates. The first guest in the series is Dr. Alondra Nelson, the Harold F. Linder Professor of Social Science and founding director of the Science, Technology and Social Values Lab at the Institute for Advanced Study. She joined Tech Policy Press editor Justin Hendrix and Privacy Center executive director Emily Tucker for a live discussion on October 22.
Google is an illegal monopolist. That is the finding of two federal judges in landmark antitrust cases over the company’s dominance of online search and advertising technology. But when it came time to order remedies, neither judge broke up the company. To discuss what the remedies mean for competition and for the broader effort to hold big tech firms accountable to democracy, particularly in the AI era, Justin Hendrix spoke with Barry Lynn, executive director of the Open Markets Institute, and Mihir Kshirsagar, who leads the Tech Policy Clinic at Princeton’s Center for Information Technology Policy (CITP).
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.
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.
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.
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.