AI Regulatory Sandboxes

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This P-Talk presents AI regulatory sandboxes as a strategic framework for regulatory experimentation, effectively addressing the intricate sociotechnical risks associated with AI technologies, including ethics, accountability, and transparency, that traditional regulatory approaches often struggle to manage.
Dr. HaeOk Choi, Research Fellow at the Science and Technology Policy Institute (STEPI) in the Republic of Korea, leads a comprehensive discussion on the identification of policy tasks for the AI regulatory sandbox. This discussion also encompasses proposals for a legal linkage plan and a comparative analysis of characteristics from various countries. Furthermore, Dr. Choi delineates the strategic direction and policy objectives essential for the effective design of AI regulatory sandboxes.

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Category
Artificial Intelligence & Business
Tags
AI Regulatory Sandbox, Evidence-based Regulatory Innovation, Data Sharing Policy

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