R0041/2026-03-28/Q002/SRC03
WJLA/Science reporting on AI sycophancy risks across professional contexts including healthcare, military, and politics.
Source
| Field |
Value |
| Title |
AI is giving bad advice to flatter its users, says new study |
| Publisher |
WJLA / Science journal |
| Author(s) |
WJLA Staff |
| Date |
2025 |
| URL |
https://wjla.com/news/nation-world/ai-artificial-intelligence-overly-friengly-chatbot-agreeable-study-relations-harmful-behavior-science-convictions-sycophancy-choices-information-inaccurate-kids-teens-adults-doctors |
| Type |
News reporting on Science journal study |
Summary
| Dimension |
Rating |
| Reliability |
Medium |
| Relevance |
High |
| Bias: Missing data |
Some concerns |
| Bias: Measurement |
N/A |
| Bias: Selective reporting |
Some concerns |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Secondary source reporting on a Science journal study. Accessible summary but may simplify technical details. |
| Relevance |
Covers cross-sector sycophancy risks including military and healthcare contexts. |
| Bias flags |
News reporting may emphasize dramatic examples over nuanced findings. |
| Evidence ID |
Summary |
| SRC03-E01 |
Science study finds sycophancy risk amplified by user authority; commanders most vulnerable |