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 governance requires a sociotechnical perspective to navigate trade-offs effectively.
Democratizing AI governance through public participation and risk assessment.
Trustworthy AI development requires effective regulation incentivized by user trust.