Companies × risks
Risks
How often companies acknowledge each of the 24 AI risks in the MIT AI Risk Repository in their public documents.
- Unfair discrimination and misrepresentation
- Exposure to toxic content
- Unequal performance across groups
- Compromise of privacy by obtaining, leaking or correctly inferring sensitive information
- AI system security vulnerabilities and attacks
- False or misleading information
- Pollution of information ecosystem and loss of consensus reality
- Disinformation, surveillance, and influence at scale
- Cyberattacks, weapon development or use, and mass harm
- Fraud, scams, and targeted manipulation
- Overreliance and unsafe use
- Loss of human agency and autonomy
- Power centralization and unfair distribution of benefits
- Increased inequality and decline in employment quality
- Economic and cultural devaluation of human effort
- Competitive dynamics
- Governance failure
- Environmental harm
- AI pursuing its own goals in conflict with human goals or values
- AI possessing dangerous capabilities
- Lack of capability or robustness
- Lack of transparency or interpretability
- AI welfare and rights
- Multi-agent risks