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 Version pinning gaps Show all concerns 3 sources
Guide citations are still under editorial review. MLflow documentation · Official technical documentation
Describes registration, versions, aliases and deployment workflows; an alias is mutable and a registry must match actual deployment.
Evidence notes & 5 linked concerns + PyTorch · version 2.14 documentation · Official technical documentation
Explains nondeterminism and limits on reproducibility across releases, platforms and devices, with methods to reduce variation.
Evidence notes & 2 linked concerns + NIST · SP 800-218A · 2024 · Official guidance
Adds AI-specific lifecycle practices to secure software development; guidance does not certify a particular system.
Evidence notes & 14 linked concerns +