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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.