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Principles to Practice in AI Governance
The speaker discusses the process of developing a document that outlines principles for AI governance. The document aims to assert certain principles, focusing on the safety and effectiveness of AI systems, data privacy, protection from algorithmic discrimination, notice when AI systems are being used, and the presence of a human fallback. The speaker acknowledges the existence of numerous sets of principles around AI developed by various organizations, and emphasizes the need to move from principles to practice in governing AI, drawing from the field of Science and Technology Studies (STS). The goal is to demonstrate technically how an AI system can adhere to these principles.