Participants considered how AI systems that sense, decide and act in the physical world raise distinctive challenges, including accountability, trust, privacy, employment, safety and responsibility.
The discussions highlighted the importance of treating ethics as an integral system property throughout the design, deployment and operation of embodied AI systems. Participants also explored the need for shared terminology, realistic testing environments, ethical impact assessment, transparency and accountability tools, and collaboration across technical, social science, policy and industry communities.