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Podcast: Regulating social media

Podcast: Regulating social media

There are dozens of bills in Congress that would regulate social media in some way, but this week’s Civic Genius podcast guest has another idea to throw into the mix. Paul Barrett is Deputy Director of the Center for Business and Human Rights at New York University, and his new report recommends that the Federal Trade Commission (FTC) regulate social media companies.

Could this proposal cut back online misinformation without running afoul of the First Amendment? Listen in to hear Barrett explain why he thinks so.


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AI - Its Use, Misuse, and Regulation
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Photo by Immo Wegmann on Unsplash

AI - Its Use, Misuse, and Regulation

There has been no shortage of articles hailing the opportunity of AI and ones forecasting disaster from AI. I understand the good uses to which AI could be put, but I am also well aware of the ways in which AI is dangerous or will denigrate our lives as thinking human beings.

First, the good uses. There is no question that AI can outthink human beings, regardless of how famous or knowledgeable, because of the amount of information it can process in a short amount of time. The most powerful accounts I've read have been in the field of medical research: doctors have fed facts into AI, asking for a diagnosis or a possible remedy, and AI has come up with remarkable answers beyond the human mind's capability.

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Overbroad AI Export Controls Risk Forfeiting the AI Race
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Overbroad AI Export Controls Risk Forfeiting the AI Race

The nation that wins the global AI race will hold decisive military and economic advantages. That’s why President Trump’s January 2025 AI Action Plan declared: “It is the policy of the United States to sustain and enhance America’s global AI dominance in order to promote human flourishing, economic competitiveness, and national security.”

However, AI global dominance does not just mean producing the best AI systems. It also means that the American “AI Stack” – the layered collection of tools, technologies, and frameworks that organizations use to build, train, deploy, and manage artificial intelligence applications – will become the international standard for this world-changing technology. As such, advancing a commonsense export policy for American AI chips will play a decisive role in determining whether the United States remains embedded at the core of global AI development or is gradually displaced by rival systems.

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Digital generated image of green semi transparent AI word on white circuit board visualizing smart technology.

What can the success of SEMATECH teach us about winning the AI race? Explore how a bold U.S. public-private partnership revived the semiconductor industry—and why a similar model could be key to advancing AI innovation today.

Getty Images, Andriy Onufriyenko

A Proven Playbook for AI Leadership: Lessons from America’s Chip Comeback

Imagine waking up to this paragraph in your favorite newspaper:

The willingness of the U.S. government to eschew partisanship and undertake a bold experiment -- an experiment based on cooperation as opposed to traditional procurement, and with accountability standards rooted in trust instead of elaborate regulations -- has led the U.S. to a position of preeminence in an industry which is vital to our nation's security and economic well-being.

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A large group of people is depicted while invisible systems actively scan and analyze individuals within the crowd

Anthropic’s lawsuit against the Trump administration over a Pentagon “supply-chain risk” label raises major constitutional questions about AI policy, corporate speech, and political retaliation.

Getty Images, Flavio Coelho

Anthropic Sues Trump Over ‘Unlawful’ AI Retaliation

Anthropic’s dispute with the Trump administration is no longer just about AI policy; it has escalated into a constitutional test of whether American companies can uphold their values against political retaliation. After the administration labeled Anthropic a “supply‑chain risk”, a designation historically reserved for foreign adversaries, and ordered federal agencies to cease using its technology, the company did not yield. Instead, Anthropic filed two lawsuits: one in the Northern District of California and another in the D.C. Circuit, each challenging different aspects of the government’s actions and calling them “unprecedented and unlawful.”

The Pentagon has now formally issued the supply‑chain risk designation, triggering immediate cancellations of federal contracts and jeopardizing “hundreds of millions of dollars” in near‑term revenue. Anthropic’s filings describe the losses as “unrecoverable,” with reputational damage compounding the financial harm. Yet even as the government blacklists the company, the Pentagon continues using Claude in classified systems because the model is deeply embedded in wartime workflows. This contradiction underscores the political nature of the designation: a tool deemed too “dangerous” to be used by federal agencies is simultaneously indispensable in active military operations.

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