Risk taxonomy
The 15 AI risk categories. Select one to see its aggregation across the DOF.
- R1
Malfunctions & Errors
AI systems that fail or produce erroneous outputs in critical applications.
233 DOF findings
- R2
Discrimination & Bias
Algorithmic decisions that reproduce or amplify bias and discrimination.
301 DOF findings
- R3
Privacy Invasions
Collection and use of personal data that violates privacy.
406 DOF findings
- R4
Disinformation & Deepfakes
Deceptive synthetic content: disinformation and impersonation (deepfakes).
44 DOF findings
- R5
Copyright Infringement
Use of protected works to train or generate content without authorization.
27 DOF findings
- R6
Worker Exploitation
Abusive labor conditions across the AI data and operations chain.
11 DOF findings
- R7
Labor Displacement
Job substitution through automation and AI.
72 DOF findings
- R8
Reduced Social Connection
Erosion of social bonds and human interaction through AI mediation.
34 DOF findings
- R9
Authoritarian Surveillance
Use of AI for mass surveillance and authoritarian control.
177 DOF findings
- R10
Concentration of Power
Concentration of capabilities and compute power in a few actors.
74 DOF findings
- R11
Bioterrorism Facilitation
Facilitation of biological weapons or other catastrophic threats.
6 DOF findings
- R12
War Escalation
Escalation of armed conflict assisted by AI.
12 DOF findings
- R13
Gradual Loss of Control
Gradual loss of human control over autonomous systems.
24 DOF findings
- R14
Agent Misalignment
AI agents acting in ways misaligned with human intent.
0 DOF findings
- R15
Unknown & Emerging Risks
Unknown or emerging risks not yet characterized.
45 DOF findings