ENVENV-002 — Stakeholder Expectation Gaps
Unresolved AI Legal Personhood Creates Long-Term Liability Exposure
4/5Sector: OtherGeography: USAStage: OperateIngested: —
Executive Summary
Academic and legal discourse on AI rights remains unresolved, with no consensus on whether sufficiently capable AI systems warrant legal personhood or protections. Boards deploying advanced AI face future regulatory and liability risk if frameworks shift to grant AI agents enforceable status.
Domain
Environmental Factors
Blindspots in organisational culture, stakeholder expectations, resource allocation, market pressure, regulatory environment, and external partnerships.
Source
MIT AI Risk Repository — Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review (Meek2016) ↗https://airisk.mit.edu/
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