R0028/2026-03-26/C026/SRC01
Georgetown Law Tech Institute, TechCrunch, Stanford/CMU
Source
| Field |
Value |
| Title |
Georgetown Law Tech Institute, TechCrunch, Stanford/CMU |
| Publisher |
Various |
| Author(s) |
Various |
| Date |
Various |
| URL |
https://www.law.georgetown.edu/tech-institute/research-insights/insights/ai-sycophancy-impacts-harms-questions/ |
| Type |
Research/Reference |
Summary
| Dimension |
Rating |
| Reliability |
High |
| Relevance |
High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
N/A |
| 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 |
Authoritative source |
| Relevance |
Directly addresses claim |
| Bias flags |
No concerns |
| Evidence ID |
Summary |
| SRC01-E01 |
Primary evidence |