In this episode, Christabel Randolph shares her expertise on AI governance and policy development, drawing from her extensive experience as a licensed attorney in law and technology. She discusses the three core pillars of AI transparency: training data transparency, system logic transparency, and output reliability.

The conversation explores the evolving landscape of AI regulation, including the recently signed global AI treaty and various US policy initiatives. Randolph emphasizes the importance of independent oversight and testing of AI systems, particularly in high-risk applications that impact human rights and civil liberties.

Throughout the discussion, Randolph addresses the balance between innovation and regulation, arguing that effective guardrails and safety measures ultimately enhance competitiveness rather than hinder it. She also discusses the role of public sector organizations in setting standards for responsible AI deployment and the importance of maintaining human oversight in critical decision-making processes.

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