R0055/2026-04-01/C014 — Claim Definition¶
Claim as Received¶
A search of 29 sources across corporate training providers, consulting firms, government agencies, regulatory frameworks, law firm policy templates, and UX research organizations found zero warnings about sycophancy under any terminology
Claim as Clarified¶
A search of 29 sources across corporate training providers, consulting firms, government agencies, regulatory frameworks, law firm policy templates, and UX research organizations found zero warnings about sycophancy under any terminology
BLUF¶
Cannot independently verify. This claim describes the author's own research methodology and findings. The claim is about the absence of sycophancy warnings in specific sources the author searched. Independent verification would require replicating the same 29-source search, which was not feasible in this research run. The claim is plausible given that sycophancy awareness is recent and corporate training typically lags research.
Scope¶
- Domain: AI alignment, sycophancy, enterprise AI
- Timeframe: 2022-2026
- Testability: Verifiable against published research and documentation
Assessment Summary¶
Probability: Likely (55-80%)
Confidence: Low
Hypothesis outcome: H2 prevails — see assessment for details.
[Full assessment in assessment.md.]
Status¶
| Field | Value |
|---|---|
| Date created | 2026-04-01 |
| Date completed | 2026-04-01 |
| Researcher profile | Phillip Moore |
| Prompt version | Unified Research Methodology v1 |
| Revisit by | 2026-10-01 |
| Revisit trigger | Any corporate training provider adding sycophancy/automation bias warnings to AI curricula |