HUMHUM-006 — Cultural Adaptation Challenges
AI Training Data Used Without Artist Consent or Compensation
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI models trained on artists' work without consent exploit creative labour and expose developers to intellectual property and ethical liability. Boards face regulatory, reputational, and legal risk as scrutiny of training data provenance intensifies.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — Sociotechnical Safety Evaluation of Generative AI Systems (Weidinger2023) ↗https://airisk.mit.edu/
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