HUMHUM-006 — Cultural Adaptation Challenges
Generative AI Models Trained on Copyrighted Works Without Authorisation
4/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Major generative AI developers have ingested substantial volumes of copyrighted books and documents into training datasets without permission or compensation to rights holders. Boards face mounting litigation exposure and reputational risk as regulators and courts scrutinise AI training practices.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024) ↗https://airisk.mit.edu/
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