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Explore the current state and future trajectory of AI governance and fairness, accountability, and transparency (FAccT) research in this keynote conference talk delivered by Suresh Venkatasubramanian from Brown University's Data Science Institute at an Association for Computing Machinery event. Examine critical questions about progress in AI ethics and governance, analyzing whether current efforts in fairness, accountability, and transparency are effectively addressing the challenges posed by artificial intelligence systems. Gain insights into the evolving landscape of AI regulation, policy development, and the intersection of technical research with governance frameworks. Consider the effectiveness of existing approaches to AI oversight and discover perspectives on what directions the field should take moving forward. Understand the complex relationship between academic research, industry practices, and policy implementation in shaping responsible AI development and deployment.
