R0041/2026-04-01/Q002/S04¶
WebSearch — AI sycophancy critical infrastructure safety
Summary¶
| Field | Value |
|---|---|
| Source/Database | WebSearch |
| Query terms | AI sycophancy critical infrastructure dangerous agreeable wrong answers safety |
| Filters | None |
| Results returned | 10 |
| Results selected | 4 |
| Results rejected | 6 |
Selected Results¶
| Result | Title | URL | Rationale |
|---|---|---|---|
| S04-R01 | The Yes-Machine Problem | https://www.webpronews.com/the-yes-machine-problem-how-sycophantic-ai-is-becoming-a-safety-crisis-nobody-wants-to-talk-about/ | Comprehensive analysis of safety implications |
| S04-R02 | AI Sycophancy: Impacts, Harms & Questions (Georgetown) | https://www.law.georgetown.edu/tech-institute/research-insights/insights/ai-sycophancy-impacts-harms-questions/ | Georgetown Law analysis of sycophancy harms |
| S04-R03 | When AI Agents Tell You What You Want to Hear (XMPRO) | https://xmpro.com/when-ai-agents-tell-you-what-you-want-to-hear-the-sycophancy-problem/ | Industrial AI multi-agent sycophancy analysis |
| S04-R04 | AI overly affirms users (Stanford Report) | https://news.stanford.edu/stories/2026/03/ai-advice-sycophantic-models-research | Stanford/Science study on sycophancy across models |
Rejected Results¶
Notes¶
This search was the most productive for Q002. The Georgetown Law analysis and Stanford/Science study provide authoritative evidence of sycophancy as a recognized safety concern across domains.