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Andrew Freedman

Co-founder and Chief Strategy Officer at Fathom. He is focused on building solutions for governing AI and other complex technologies.

Top 3 podcasts with Andrew Freedman

Ranked by the Snipd community
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49 snips
Jul 22, 2025 • 1h 53min

Private Governance: Creating a Market in AI Regulation, with Dr. Gillian Hadfield & Andrew Freedman

Dr. Gillian Hadfield, a leader in AI regulation at Johns Hopkins, and Andrew Freedman from Fathom explore the creation of private regulatory markets for AI governance. They propose a system that differentiates between goal-setting by governments and technical rule-making by private certifiers, aiming to enhance safety standards. Key discussions include avoiding a race to the bottom among certifiers and lessons from cannabis regulation. The urgency for accountability and adapting legal frameworks around AI also take center stage, addressing the complexities of liability and compliance.
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Jul 30, 2025 • 56min

A New AI Regulatory Regime? SB 813 with Lauren Wagner and Andrew Freedman

Andrew Freedman, Chief Strategy Officer at Fathom, and Lauren Wagner from the Abundance Institute join the discussion on AI regulation. They delve into the urgent need for effective governance frameworks like California's Senate Bill 813. Topics include innovative approaches to AI safety, the significance of independent verification organizations, and the crucial role of public-private partnerships. The conversation also highlights challenges in regulatory implementation and the importance of collaboration to ensure accountability in AI technologies.
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Apr 16, 2025 • 48min

A New Vision for Advancing AI Governance with Andrew Freedman

Andrew Freedman, Chief Strategic Officer at Fathom, shares his journey from cannabis regulation to AI governance. He highlights the importance of inclusive collaboration in shaping technology policies. Freedman discusses the role of public engagement in creating effective AI governance and the complexities of balancing regulation with innovation. He emphasizes the need for clear standards and a cohesive approach to build a safe and accountable AI ecosystem, while also drawing lessons from previous policy challenges.

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