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R0048/2026-04-01/Q003 — Self-Audit

ROBIS 4-Domain Audit

Domain 1: Eligibility Criteria

Rating: Low risk

Criterion Assessment
Sub-questions identified Yes — what is taught, how characterized, is sycophancy connected
Criteria defined before searching Yes — searched for training content and research separately
Scope appropriate Yes — covered training materials and AI safety research

Notes: The three sub-questions provided clear structure for the investigation.

Domain 2: Search Comprehensiveness

Rating: Low risk

Criterion Assessment
Multiple search strategies used Yes — two searches targeting training content and hallucination-sycophancy research
All results dispositioned Yes — 20 results across 2 searches dispositioned
Source diversity achieved Yes — government (DOL), professional (IAPP), academic (Tsinghua/Stanford), technical (Giskard, Fikril), media (Fortune)

Notes: Comprehensive coverage of both training content and AI safety research.

Domain 3: Evaluation Consistency

Rating: Low risk

Criterion Assessment
All sources scored consistently Yes
Evidence typed consistently Yes
ACH matrix applied Yes
Diagnosticity analysis performed Yes

Notes: Consistent evaluation across all five sources.

Domain 4: Synthesis Fairness

Rating: Low risk

Criterion Assessment
All hypotheses given fair hearing Yes — H1 actively searched for in both training and research
Contradictory evidence surfaced Yes — IAPP characterization as fundamental (partial H1 support) highlighted
Confidence calibrated to evidence Yes — Medium-High reflects strong convergent finding
Gaps acknowledged Yes — internal training content gap noted

Notes: The finding aligns with researcher expectations but is independently well-supported.

Domain 5: Source-Back Verification

Rating: Low risk

Source Claim in Assessment Source Actually Says Match?
SRC03 DOL names "hallucinations and accuracy limits" Campus Technology reports this as Area 1 subtopic Yes
SRC05 "Same behaviour at the neuron level" Giskard states this citing Tsinghua H-Neuron research Yes
SRC01 "Not mere bugs, but signatures of how these machines think" IAPP article uses this exact framing Yes
SRC04 AI 49% more sycophantic than humans Fortune reports this statistic from Science study Yes

Discrepancies found: 0

Corrections applied: None needed

Unresolved flags: None

Notes: All claims verified against source content.

Overall Assessment

Overall risk of bias: Low risk

The research process was systematic and the finding is strongly supported by convergent evidence from independent sources. The distinction between what training teaches (hallucination as random error) and what research shows (hallucination and sycophancy as related neural behaviors) is clearly documented.

Researcher Bias Check

  • Confirmation bias risk: MODERATE — the finding confirms the researcher's expectation that the hallucination-sycophancy connection is not made in training. Compensated by active search for counterevidence and detailed treatment of IAPP analysis as the most sophisticated governance source.
  • Framing bias risk: The research questions themselves suggest the connection should be made in training. This framing was acknowledged and did not prevent fair evaluation of H3 (hallucination not addressed) — which was properly eliminated.