R0057/2026-04-01/C025/SRC01
MIT AI Risk Repository, AIR 2024, and Standardized Threat Taxonomy
Source
| Field |
Value |
| Title |
MIT AI Risk Repository |
| Publisher |
MIT; arXiv |
| Author(s) |
MIT; various researchers |
| Date |
2024-2026 |
| URL |
https://airisk.mit.edu/ |
| Type |
Risk taxonomies |
Summary
| Dimension |
Rating |
| Reliability |
High |
| Relevance |
High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
Low risk |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Risk taxonomies from established institution/publication |
| Relevance |
Directly addresses the claim under investigation |
| Bias flags |
No significant bias concerns identified |
| Evidence ID |
Summary |
| SRC01-E01 |
Sycophancy does not appear in MIT AI Risk Repository, AIR 2024, or Standardized Threat Taxonomy |