R0044/2026-03-29/Q002/SRC01
"Sycophantic AI decreases prosocial intentions and promotes dependence" — Science (2026)
Source
| Field |
Value |
| Title |
Sycophantic AI decreases prosocial intentions and promotes dependence |
| Publisher |
Science |
| Author(s) |
Not fully extracted (Stanford-affiliated researchers) |
| Date |
March 2026 |
| URL |
https://www.science.org/doi/10.1126/science.aec8352 |
| 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 |
Low risk |
| Bias: Protocol deviation |
Low risk |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Published in Science, the most prestigious general science journal. Peer-reviewed. Tested 11 state-of-the-art AI models. |
| Relevance |
Directly measures the consequences of AI sycophancy on human behavior. Tests the specific phenomenon the query asks about. |
| Bias flags |
Low risk across all domains. Published in a top-tier journal with rigorous peer review. |
| Evidence ID |
Summary |
| SRC01-E01 |
AI affirmed users 49% more than humans; sycophantic AI reduced prosocial intentions and increased conviction of being right |