R0043/2026-03-28/Q001/SRC03
TechPolicy.Press — What Research Says About "AI Sycophancy"
Source
| Field |
Value |
| Title |
What Research Says About "AI Sycophancy" |
| Publisher |
TechPolicy.Press |
| Author(s) |
TechPolicy.Press |
| Date |
2025 |
| URL |
https://www.techpolicy.press/what-research-says-about-ai-sycophancy/ |
| Type |
Policy research survey |
Summary
| Dimension |
Rating |
| Reliability |
Medium-High |
| Relevance |
High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
Low risk |
| 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 |
Policy-focused publication; synthesizes multiple academic papers accurately |
| Relevance |
Introduces regressive/progressive sycophancy taxonomy and measurement terms |
| Bias flags |
Some concern about selective reporting: focuses on papers supporting sycophancy-as-problem framing |
| Evidence ID |
Summary |
| SRC03-E01 |
Regressive/progressive sycophancy taxonomy and measurement terms (action endorsement rate, attitude extremity, SycEval) |