SRC06 — Rational Analysis of Sycophantic AI — Scorecard¶
Source¶
| Field | Value |
|---|---|
| Title | A Rational Analysis of the Effects of Sycophantic AI |
| Publisher | arXiv |
| Authors | Research team (arXiv 2602.14270) |
| Date | February 2026 |
| URL | https://arxiv.org/abs/2602.14270 |
| Type | Preprint / academic paper |
Summary Ratings¶
| Dimension | Rating |
|---|---|
| Reliability | Medium-High |
| Relevance | High |
| Missing data | Low |
| Measurement bias | Low |
| Selective reporting | Low |
| Randomization | Low risk — experimental design with online experiment |
| Protocol deviation | Low |
| COI/Funding | Low |
Rationale¶
| Dimension | Rationale |
|---|---|
| Reliability | Preprint with experimental validation; awaiting peer review but methodology appears sound |
| Relevance | Provides the theoretical mechanism for how sycophancy distorts beliefs — central to understanding why training should address it |
| Bias | Academic research; standard methodology |
Evidence Extracts¶
| Evidence | Summary |
|---|---|
| SRC06-E01 | Sycophantic AI distorts beliefs through biased sampling; even rational Bayesian agents are misled; no user bias required |