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R0044/2026-03-29/Q002/S01

WebSearch — AI sycophancy harm studies and the OpenAI incident

Summary

Field Value
Source/Database WebSearch
Query terms AI sycophancy agreeable output harm case study incident report high-stakes professional context medicine military finance engineering; OpenAI ChatGPT sycophancy rollback April 2025 incident
Filters None
Results returned 20 (combined)
Results selected 4
Results rejected 16

Selected Results

Result Title URL Rationale
S01-R01 Sycophantic AI decreases prosocial intentions (Science) https://www.science.org/doi/10.1126/science.aec8352 Premier empirical study of sycophancy consequences
S01-R02 OpenAI: Sycophancy in GPT-4o https://openai.com/index/sycophancy-in-gpt-4o/ Primary incident report of system-side sycophancy harm
S01-R03 Georgetown Law: AI Sycophancy Impacts & Harms https://www.law.georgetown.edu/tech-institute/research-insights/insights/ai-sycophancy-impacts-harms-questions/ Comprehensive harm taxonomy
S01-R04 Rational Analysis of Sycophantic AI Effects (arXiv) https://arxiv.org/html/2602.14270v1 Bayesian framework showing sycophancy misleads rational agents

Rejected Results

Result Title URL Rationale
S01-R05 Various news articles on OpenAI sycophancy Multiple URLs Redundant with primary OpenAI source
S01-R06 TechCrunch/VentureBeat/NBC coverage Multiple URLs News coverage of same incident

Notes

The sycophancy harm literature is rapidly growing but concentrated in consumer/laboratory contexts. Professional high-stakes case studies are notably absent — the gap between consumer sycophancy documentation and professional-context documentation is the key finding from this search.