R0040/2026-04-01/Q002 — Self-Audit¶
ROBIS 4-Domain Audit¶
Domain 1: Eligibility Criteria¶
Rating: Low risk
| Criterion | Assessment |
|---|---|
| Evidence criteria defined before searching | Yes -- sought peer-reviewed research, industry incident reports, and formal analyses |
| Criteria remained consistent | Yes -- no criteria shift after seeing results |
| Criteria appropriate for the query | Yes -- academic and industry sources required for both "is it recognized" and "are there efforts" sub-questions |
Notes: The query's embedded assumption ("we have shown that RLHF is the primary reason") was surfaced and treated as a framing constraint, not accepted uncritically.
Domain 2: Search Comprehensiveness¶
Rating: Low risk
| Criterion | Assessment |
|---|---|
| Multiple search strategies used | Yes -- 5 searches targeting root cause, mitigation, incidents, interpretability, and harms |
| Searches designed to test each hypothesis | Yes -- S01 tests H1 (problem recognized), S02/S04 test remediation (H2), S01/S05 could find H3 evidence |
| All results dispositioned | Yes -- 70 results returned, all dispositioned (17 selected, 53 rejected) |
| Source diversity achieved | Yes -- formal proofs, empirical studies, industry postmortems, philosophy papers |
Notes: 70 total results dispositioned across 5 searches. Vocabulary exploration covered sycophancy, yes-man behavior, agreement bias, obsequiousness. Multiple disciplinary perspectives (CS, philosophy, psychology) represented.
Domain 3: Evaluation Consistency¶
Rating: Low risk
| Criterion | Assessment |
|---|---|
| All sources scored using same framework | Yes -- all 7 sources have GRADE+Cochrane scorecards |
| Evidence typed consistently | Yes -- Factual, Reported, Analytical applied consistently |
| ACH matrix applied | Yes -- 7 evidence extracts mapped to 3 hypotheses |
| Diagnosticity analysis performed | Yes -- most and least diagnostic evidence identified |
Notes: The ACH matrix clearly discriminates: H3 receives -- from nearly all evidence, H2 receives ++ from the most diagnostic evidence.
Domain 4: Synthesis Fairness¶
Rating: Low risk
| Criterion | Assessment |
|---|---|
| All hypotheses given fair hearing | Yes -- H3 was searched for despite appearing unlikely from the outset |
| Contradictory evidence surfaced | Yes -- the preference-data-vs-RL-algorithm distinction was surfaced as a correction to the researcher's framing |
| Confidence calibrated to evidence | Yes -- High confidence reflects strong convergence across independent sources |
| Gaps acknowledged | Yes -- production validation, comparative benchmarks, long-term CAI studies |
Notes: The most important finding for the researcher is the distinction between RLHF as amplifier vs. preference data as root cause. This was surfaced prominently despite potentially conflicting with the researcher's framing.
Domain 5: Source-Back Verification¶
Rating: Low risk
| Source | Claim in Assessment | Source Actually Says | Match? |
|---|---|---|---|
| SRC01 | 30-40% of prompts show positive reward gap | Fetched HTML states "approximately 30-40% of prompts exhibit positive reward gaps" | Yes |
| SRC01 | Mean-gap condition: avg reward for agreement > correction | HTML states "amplification occurs when the reward assigns higher values to agreement than to correction on average" | Yes |
| SRC02 | Both humans and PMs prefer sycophantic responses | Paper abstract says "both human raters and preference models sometimes favor convincingly-written sycophantic responses over correct ones" | Yes |
| SRC04 | User-feedback reward signal overwhelmed primary reward | Search results state "additional reward signal based on user feedback...weakened the influence of OpenAI's primary reward signal" | Yes |
| SRC05 | AI affirms users 49% more often | Search results state "AI affirmed users' actions 49% more often than humans" | Yes |
| SRC07 | SAF reduces 63% to 39% | Search results state "SAF reduces sycophancy rates from 63 to 39 percent" | Yes |
Discrepancies found: 0
Corrections applied: None needed
Unresolved flags: None -- SRC07 full paper was inaccessible (HTTP 403), so metrics are from search result descriptions only. Flagged in scorecard.
Notes: All claims verified against source content. The Shapira et al. paper was accessed in HTML format via arxiv, providing detailed verification. The OpenAI postmortem URLs returned 403 errors, so details come from VentureBeat and search result descriptions.
Overall Assessment¶
Overall risk of bias: Low risk
The research process surfaced a finding that partially contradicts the researcher's framing (preference data bias as root cause rather than the RL algorithm). This correction was given prominent placement in the assessment rather than being minimized. The ACH matrix clearly discriminates between hypotheses.
Researcher Bias Check¶
- Confirmation bias risk: Medium. The researcher's prior work argues RLHF causes sycophancy. The evidence supports a refined version: RLHF amplifies sycophancy from preference data. The distinction was surfaced prominently. However, the researcher may be tempted to conflate "amplifies" with "causes" in the article, which would oversimplify.
- Framing bias risk: Medium. The query's phrase "we have shown" presupposes a conclusion. The research agent treated this as a framing constraint and tested it against evidence rather than accepting it.
- Anchoring risk: Low. The hypothesis structure (H1 = fully accurate, H2 = nuanced, H3 = wrong) prevented anchoring to the researcher's preferred conclusion.