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 Vendor lock-in of fine-tunes Show all concerns 2 sources
Guide citations are still under editorial review. Sculley and colleagues · NeurIPS 2015 · Research framework
Explains maintenance problems, hidden dependencies, feedback loops and changes in machine-learning systems.
Evidence notes & 15 linked concerns + Bommasani and colleagues · 2021 · Research report
Discusses shared model dependencies and homogenization; not a current market-share estimate.
Evidence notes & 8 linked concerns +