DATDAT-002 — Data Privacy and Protection Failures
Embodied AI Systems Leak Personal and Proprietary Data Through Prompting
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Robots and embodied AI systems memorise sensitive data across visual, auditory, and tactile inputs, then expose it via simple prompts. Boards face liability under data protection law and reputational risk wherever such systems are deployed commercially.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Embodied AI: Emerging Risks and Opportunities for Policy Action (Perlo2025) ↗https://airisk.mit.edu/
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