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R0057/2026-04-01/C024 — Assessment
Research R0057 — RLHF Yes-Men Claims v3
Run 2026-04-01
Claim C024

BLUF

Confirmed. Article 14 of the EU AI Act explicitly uses 'automation bias' and requires deployers to ensure oversight personnel remain aware of 'the possible tendency of automatically relying or over-relying on the output produced by a high-risk AI system (automation bias).' This is a deployer awareness obligation, not a system-design constraint on AI providers.

Probability

Rating: Very likely (80-95%)

Confidence in assessment: High

Confidence rationale: Primary legislative text. The language is unambiguous.

Reasoning Chain

  1. Article 14 requires that high-risk AI systems be provided to deployers so that oversight personnel are enabled to remain aware of 'the possible tendency of automatically relying or over-relying on the output produced by a high-risk AI system (automation bias).' This is explicitly a deployer awareness obligation — the deployer must train personnel. It is not a system-design constraint imposed on AI providers. [SRC01-E01, High reliability, High relevance]

  2. JUDGMENT: Confirmed. Article 14 of the EU AI Act explicitly uses 'automation bias' and requires deployers to ensure oversight personnel remain aware of 'the possible tendency of automatically relying or over-relying on the output produced by a high-risk AI system (automation bias).' This is a deployer awareness obligation, not a system-design constraint on AI providers.

Evidence Base Summary

Source Description Reliability Relevance Key Finding
SRC01 EU AI Act Article 14 text High High EU AI Act Article 14 uses 'automation bias' and creates deployer awareness obligation, not system-design constraint

Collection Synthesis

Dimension Assessment
Evidence quality High
Source agreement High
Source independence Medium
Outliers None identified

Detail

The evidence supports the assessment. Primary legislative text. The language is unambiguous.

Gaps

Missing Evidence Impact on Assessment
Additional independent verification Would strengthen confidence

Researcher Bias Check

Declared biases: Anti-sycophancy bias could influence interpretation toward confirming sycophancy claims.

Influence assessment: Mitigated by reliance on peer-reviewed and primary sources.

Cross-References

Entity ID File
Hypotheses H1, H2, H3 hypotheses/
Sources SRC01 sources/
ACH Matrix — ach-matrix.md
Self-Audit — self-audit.md