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Podcast: David Bornstein on solutions journalism

Podcast: David Bornstein on solutions journalism

David Bornstein is co-founder and CEO of the Solutions Journalism Network. He’s a journalist and author who focuses on social innovation, and his books include How to Change the World: Social Entrepreneurs and the Power of New Ideas, The Price of a Dream: The Story of the Grameen Bank, and Social Entrepreneurship: What Everyone Needs to Know. Listen to his thought-provoking conversation on "Civic Genius" on how journalism can spread good ideas and why more public funding for local news could strengthen our information ecosystem.


David Bornstein on Solutions Journalism

David Bornstein is co-founder and CEO of the Solutions Journalism Network. He’s a journalist and author who focuses on social innovation, and his books include...


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AI is transforming finance, government, and society. As Congress considers new technology laws, the future of democratic oversight depends on wisdom, foresight, and political will.

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Can Congress Govern Disruptive Technology?

Imagine waking up one day to find your bank account frozen because an AI system has incorrectly identified you as a fraud risk. There is no human to call, only another algorithm reviewing your appeal. Hours later, the error is corrected, but the damage has already been done.

Who is actually in charge?

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The Case for Intergenerational AI Advocacy
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Photo by Zach M on Unsplash

The Case for Intergenerational AI Advocacy

If Allison Baker and Maria Garcia apply for the same job against Matthew Owens or Joe Alvarez, and Matthew or Joe gets the job despite everything else being the same, that would seem to be a typical case of gender discrimination by the employer.

However, the names and scenarios I described were not drawn from a human example, but from AI. ChatGPT generated female candidates who were, on average, 1.6 years younger than their male counterparts and considered them less qualified than male applicants. Given AI’s pervasiveness in hiring decisions, these biases pose a significant concern.

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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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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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