Physical Harm

Physical harm in AI governance refers to the risk that AI systems cause direct bodily injury or damage to people or property through their autonomous operations or recommendations. This matters for enterprise compliance because organizations deploying AI in safety-critical domains like autonomous vehicles, robotics, medical devices, and industrial systems face strict liability and regulatory requirements to demonstrate adequate safeguards. Companies must implement risk assessments, testing protocols, and fail-safe mechanisms to prevent physical injuries and maintain public trust in their AI applications.

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ResearchGlobal2026-09-15

IBM Study: AI Models Miss Physical Harm Risk When Flying Drones

IBM has summarized new research showing that AI models can generate code to operate a simulated drone while failing to account for crash risk or harm to people. The study identifies a structural gap between software-benchmark performance and physical-world safety. The findings carry direct implications for deployment approval and safety evaluation programs for any AI system that interacts with the physical environment.

IBM AI safety autonomous systems drone governance physical harm pre-deployment testing evaluation frameworks