Data on Purpose 2025

Session Recordings and Resources

Thank you to everyone who joined us at Data on Purpose on May 6-7, 2025. Under the theme "Reimagining the Digital Future: Harnessing AI for Good," speakers examined the intersections of AI with civil society, ethics, governance, the public sector, and other key areas shaping our collective future. Below, you'll find the recordings for each session, along with any applicable resources to help deepen your learning.

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  1. Opening Keynote: AI’s Promises
  2. AI Strategies for Nonprofits: Increasing Giving Impact
  3. AI Literacy: Separating Hype from Reality
  4. AI Governance in the U.S. and Europe
  5. AI Evaluation: Better Benchmarks and Beyond
  6. Impact Evaluations of AI in the Social Sector
  7. AI in the Workplace Now
  8. Design, Data, and Equity
  9. Open Source and AI Collaboration
  10. Interrogating Risks and Potentials of Emerging Innovation, AI, Data Sovereignty, and Agroecological Knowledge Systems
  11. Using Tech and AI to Preserve Indigenous Culture
  12. How Do We Stay Human in the Age of AI?

AI’s Promises

Session 1: Keynote conversation between Mike Kubzansky, CEO of Omidyar Network, and Priya Shanker, executive director of the Stanford Center on Philanthropy and Civil Society.

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AI Strategies for Nonprofits: Increasing Giving Impact

Session 2: Tactical discussion on actionable strategies to leverage AI for fundraising. Panelists include Angela Aristidou, fellow at Stanford Institute for Human-Centered AI; Andrew Dunckelman, deputy director of the Gates Foundation; Sam Fankuchen, CEO and founder of Golden; and Suhani Jalota, founder of Myna Mahila Foundation.



AI Literacy: Separating Hype from Reality

Session 3: Lightning talk by Arvind Narayanan, co-author of AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference and director of the Center for Information Technology Policy at Princeton University.

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AI Governance in the U.S. and Europe

Session 4: Conversation between two AI governance policy experts from Stanford Cyber Policy Center, Marietje Schaake and Nate Persily.

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AI Evaluation: Better Benchmarks and Beyond

Session 5: Stanford researcher, Amelia Hardy, presented the AI benchmark assessment framework, repository, and paper, BetterBench, that she wrote with Anka Reuel.

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Impact Evaluations of AI in the Social Sector

Session 6: Evidence-backed presentation by Iqbal Dhaliwal, global executive director of the Abdul Latif Jameel Poverty Action Lab (J-PAL) at MIT

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AI in the Workplace Now

Session 7: Dynamic fireside chat with Daron Acemoglu, 2024 Nobel laureate in economic sciences and of MIT’s Shaping the Future of Work Initiative, and Roy Bahat, head of Bloomberg Beta.

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Design, Data, and Equity

Session 8: Stanford d.school emerging tech design lead and lecturer, Ariam Mogos, led this engaging workshop.

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Open Source and AI Collaboration

Session 9: Lightning talk by Jim Fruchterman, serial entrepreneur and Tech Matters CEO and founder.

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Interrogating Risks and Potentials of Emerging Innovation, AI, Data Sovereignty, and Agroecological Knowledge Systems

Session 10: Panel conversation including Samuel Oslund of the 11th Hour Project; Barbara Ntambirweki, Ugandan legal scholar and researcher; Rikin Gandhi, founder of Digital Green; and Jim Thomas, civil society researcher and author at Scan the Horizon.



Using Tech and AI to Preserve Indigenous Culture

Session 11: Presentation by Michael Running Wolf, a Native American software engineer, AI researcher, and co-founder of IndigiGenius.

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How Do We Stay Human in the Age of AI?

Session 12: Closing keynote with Terry Winograd, Professor Emeritus at Stanford University’s Computer Science Department.

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