The evidence behind the guides
Sources Find a study, check what it supports, and follow it back to a concern.
TopicAll topics Data Integrity & Provenance Model Performance & Reliability Security & Adversarial Risk Transparency, Explainability & Accountability Agentic & Multi-Agent Risks Infrastructure, Compute & Deployment Environmental & Physical Footprint Discrimination, Fairness & Toxicity Privacy & Surveillance Misinformation, Manipulation & Democracy Malicious Use & Weaponization Human–Computer Interaction Harms Health, Safety & Care Labor, Work & the Economy Education & Knowledge Inequality, Access & Power Culture, Identity & Values Governance & Regulation Rights, Law & Justice Corporate & Enterprise Concerns Power Concentration & Geopolitics AI System Safety & Alignment Catastrophic & Existential Risk CollectionAll sources Cited in concern guides Topic reading Research tools & guidance
Sources for Cross-lingual hallucination Show all concerns 2 sources
Guide citations are still under editorial review. NIST · AI 600-1 · 2024 · Official risk framework
Describes generative-AI risk categories and management actions; it does not measure the failure rate of every product.
Evidence notes & 22 linked concerns + Joshi and colleagues · ACL 2020 · Research study
Documents language-resource and research-representation gaps. It does not measure every current language model.
Evidence notes & 10 linked concerns +