AI risk categories
Browse the periodic-table taxonomy as crawlable category hubs with direct links to canonical risk detail pages.
14 risks
Economy
Impacts on jobs, markets, economic concentration, and value distribution.
Open category hub3 risks
Environment
Energy and material externalities across the AI model lifecycle.
Open category hub22 risks
Existential
Long-horizon alignment, loss-of-control, and catastrophic-risk scenarios.
Open category hub8 risks
Human-AI
Interaction risks in dependence, overtrust, perception, and AI-assisted decision-making.
Open category hub6 risks
Legal
Regulatory, compliance, rights, and liability exposure.
Open category hub10 risks
Malicious
Intentional misuse vectors including fraud, manipulation, and model weaponization.
Open category hub8 risks
Privacy
Risks related to exposure, leakage, surveillance, and re-identification of data.
Open category hub11 risks
Reliability
Failure modes that degrade output quality, consistency, or trustworthiness.
Open category hub9 risks
Security
Technical and cybersecurity attack vectors affecting model integrity, control, and resilience.
Open category hub27 risks
Society
Collective and system-level impacts such as bias, inequality, information harm, and social damage.
Open category hub