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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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Rebuilding America’s Federal Data System for Trust and Accuracy

How the U.S. can rebuild and improve its federal data system by combining Census, citizen, AI, and nontraditional data for stronger public policy.

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Rebuilding America’s Federal Data System for Trust and Accuracy

The business aphorism, “You can’t manage what you don’t measure,” applies to countries as well as corporations. The U.S. has relied since its founding on accurate Census, economic, and health and scientific data to set national policy. As an earlier Fulcrum article described, the Trump administration has put many data sources at risk, and advocates are working to save them. But they’re also asking: As we protect and rebuild the national data ecosystem, how do we make it better than it has been in the past?

I recently moderated a webinar on Meeting the Challenge of Measurement, co-sponsored by NAPA, CODE, and the Bridge Alliance, with four leaders in the field: Chris Jackson of the research firm SSRS, Beth Jarosz of the Association of Public Data Users, Francesca Perucci of Open Data Watch, and Dr. Stefaan Verhulst of the GovLab. I also interviewed former U.S. Comptroller Gene Ludwig, author of The Mismeasurement of America. Their insights, plus my organization’s recent work with USAFacts, provide three principles for moving forward.

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Businessman typing on laptop computer keyboard at desk in office.

As nonprofits increasingly use AI to determine access to food, housing, and healthcare assistance, concerns over transparency, accountability, and algorithmic bias are growing. Explore how artificial intelligence is reshaping America's social safety net and why policymakers are being urged to act.

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Why Nonprofits Are Becoming America's Unofficial AI Welfare State

America's safety net has new administrators. They are not government agencies. They are nonprofits and are making decisions using algorithms.

Nationally, civil society organizations are using AI to determine who receives food assistance, emergency shelter, and medical referrals. In an era of federal and state budget cuts and struggles with the latest administrative databases that support necessary operations, nonprofits have gradually stepped into these roles. An unofficial AI welfare state is emerging, operating beyond the boundaries of official ones.

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Person using tablet for health reasons.

AI isn't just for doctors. Consumer AI could improve patient outcomes, reduce medical errors, and reshape U.S. healthcare through smarter public policy.

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Federal Action Could Unlock AI’s Power for Millions of Patients

When it comes to medicine, Washington, D.C., is not anti-AI. In a string of recent legislative announcements, the White House has made AI innovation a national priority. The U.S. Department of Health and Human Services (HHS) is exploring strategies to accelerate AI in clinical care. And the FDA has already authorized more than 1,500 AI-enabled medical devices.

But these efforts, similar to the approach taken by the private sector, have focused solely on advancing AI for clinicians, hospitals, and health systems.

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In this photo illustration, Predictions market sites are shown on electronic devices on February 25, 2026 in Chicago, Illinois. Online prediction market platforms, such as Polymarket and Kalshi, allow people to place bets on wide-ranging subjects such as sports, finance, politics and currents events.

Prediction markets are expanding beyond finance into politics, war, and public policy. Explore the ethical, democratic, and legislative questions they raise.

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Betting on Crisis: Why Prediction Markets Are a Threat to Democratic Trust

Imagine opening an app on your phone and placing a bet on whether peace talks between two countries will fail, a conflict will escalate, or a terrorist attack will occur before the end of the year.

For a growing number of people, that is no longer a hypothetical scenario.

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