R0057/2026-04-01/C030/SRC01
Cheng et al. (2026) Science study
Source
| Field |
Value |
| Title |
Sycophantic AI decreases prosocial intentions and promotes dependence |
| Publisher |
Science / arXiv |
| Author(s) |
Myra Cheng et al. |
| Date |
2024-2026 |
| URL |
https://arxiv.org/html/2510.01395v1 |
| Type |
Research paper (peer-reviewed) |
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 |
Research paper (peer-reviewed) from established institution/publication |
| Relevance |
Directly addresses the claim under investigation |
| Bias flags |
No significant bias concerns identified |
| Evidence ID |
Summary |
| SRC01-E01 |
Users rate sycophantic AI 9-15% higher quality, 13% more return likelihood, 6-9% higher trust |