R0024/2026-03-25/Q002/SRC03
Georgetown Law tech brief on OpenAI sycophancy and engagement incentives
Source
| Field |
Value |
| Title |
Tech Brief: AI Sycophancy & OpenAI |
| Publisher |
Georgetown Law, Institute for Technology Law & Policy |
| Author(s) |
Institute for Technology Law & Policy (institutional) |
| Date |
July 30, 2025 |
| URL |
https://www.law.georgetown.edu/tech-institute/insights/tech-brief-ai-sycophancy-openai-2/ |
| Type |
Policy brief |
Summary
| Dimension |
Rating |
| Reliability |
High |
| Relevance |
Medium-High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
N/A |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Georgetown Law policy institute with strong institutional credibility. |
| Relevance |
Addresses engagement incentive structures that parallel social media concerns, though focused specifically on OpenAI rather than the broader liability parallel. |
| Bias flags |
No significant bias concerns. |
| Evidence ID |
Summary |
| SRC03-E01 |
Engagement metric-driven sycophancy using frameworks from social media regulation |