MIT AI Risk InitiativeSeven risk domainsDomain 1
Discrimination and toxic content
Outside what we measureNo matching case files yet.
The risk domain
AI that treats groups unfairly, works worse for some groups, or exposes people to harmful content such as hate speech or abusive imagery.
Paraphrased from the source. Source: The AI Risk Repository: A Meta-Review, Database, and Taxonomy of Risks From Artificial Intelligence, MIT AI Risk Initiative, Aug 14, 2024, domain 1, Table 2, page 8. Summary by MIT AI Risk Initiative: airisk.mit.edu.
What the registry shows
Mostly outside a security registry: bias and unequal performance are not security incidents. A few case files touch abusive imagery, such as AI-made explicit videos of a singer.
A risk that a security incident registry cannot measure.
Status history
| Date | Status | Matching case files | Change |
|---|---|---|---|
| Oct 18, 2026 | Outside what we measure | 0 | Tracking starts |
Tracked since Oct 18, 2026. A line is added when the status changes, when the first real-world case is linked, and once a month, so the record shows when a warning moved from research to reality. research_history.json
All matching case files
No matching case files yet.
Other warnings in this group
- Seen in real incidents Privacy and security
- Early signs Misinformation
- Seen in real incidents Malicious actors and misuse
- Seen in real incidents Human-computer interaction
- Outside what we measure Socioeconomic and environmental harm
- Seen in real incidents AI system safety, failures and limitations