Autonomous AI Systems Challenge Governance Frameworks in Physical Environments
As autonomous AI systems extend their reach beyond software into warehouses, delivery networks, and public spaces, questions arise about the adequacy of existing AI governance frameworks to address risks in physical settings. Singapore’s latest Model AI Governance Framework emphasizes iterative deployment and human oversight to manage these new challenges.
