R0043/2026-03-28/Q003/SRC05
AIR 2024 Risk Categorization
Source
| Field |
Value |
| Title |
AIR 2024 Risk Categorization |
| Publisher |
Various |
| Author(s) |
Various |
| Date |
2024-2025 |
| URL |
https://arxiv.org/html/2406.17864v1 |
| Type |
Research paper/repository |
Summary
| Dimension |
Rating |
| Reliability |
Medium-High |
| Relevance |
High |
| Bias: Missing data |
Some concerns |
| 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 |
Academic research; well-cited |
| Relevance |
Addresses AI vocabulary/taxonomy bridging |
| Bias flags |
Some missing data concern: may not capture all sycophancy-adjacent terminology |
| Evidence ID |
Summary |
| SRC05-E01 |
314 risk categories; 7 shared across EU/US/China; overreliance risks underspecified in corporate policies |