R0024/2026-03-25/Q004/SRC03
SciELO analysis of industry complacency on AI sycophancy
Source
| Field |
Value |
| Title |
Sycophancy in AI: the risk of complacency |
| Publisher |
SciELO in Perspective |
| Author(s) |
Ernesto Spinak |
| Date |
March 13, 2026 |
| URL |
https://blog.scielo.org/en/2026/03/13/sycophancy-in-ai-the-risk-of-complacency/ |
| Type |
Expert commentary |
Summary
| Dimension |
Rating |
| Reliability |
Medium |
| Relevance |
High |
| Bias: Missing data |
Low risk |
| 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 |
SciELO is a respected academic publishing platform. Author is an expert commentator. Not peer-reviewed but well-sourced. |
| Relevance |
Directly assesses industry response to sycophancy including specific company claims about reduction. |
| Bias flags |
Some selective reporting — focuses on critical assessment of industry response. However, this perspective is valuable as a counterbalance to company self-reporting. |
| Evidence ID |
Summary |
| SRC03-E01 |
Industry complacency assessment: Anthropic shifts responsibility to users; DeepSeek-v3 47% reduction claim; newer models paradoxically more sycophantic |