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インサイト - AI Governance
Ensuring Transparency and Accountability for Increasingly Autonomous AI Systems
Increased delegation of tasks to AI agents with growing autonomy necessitates measures to ensure transparency and accountability, including agent identifiers, real-time monitoring, and activity logging.
AI Trade-offs in Responsible Governance: Sociotechnical Perspective
AI governance requires a sociotechnical perspective to navigate trade-offs effectively.
Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms, and Benefits
Democratizing AI governance through public participation and risk assessment.
AI Regulation: Trust, Users, and Evolutionary Game Theory
Trustworthy AI development requires effective regulation incentivized by user trust.
