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R0043/2026-04-01/Q001 — ACH Matrix

Matrix

H1: Comprehensive map constructable H2: Some domains lack terminology H3: Terms describe different phenomena
SRC01-E01: AI safety has defined behavioral categories ++ N/A +
SRC02-E01: Regressive/progressive taxonomy ++ N/A -
SRC03-E01: Defense has automation bias/complacency ++ -- +
SRC04-E01: Psychology uses delusion confirmation ++ -- +
SRC05-E01: Formal taxonomy distinguishing terms ++ N/A ++
SRC06-E01: Acquiescence bias reversed in LLMs N/A N/A ++
SRC07-E01: Engineering borrows "sycophancy" + + N/A
SRC08-E01: Aviation terms inadequate for AI ++ N/A ++
SRC09-E01: Cross-domain gap identified ++ ++ +

Legend: - ++ Strongly supports - + Supports - -- Strongly contradicts - - Contradicts - N/A Not applicable to this hypothesis

Diagnosticity Analysis

Most Diagnostic Evidence

Evidence Why Diagnostic
SRC05-E01 Formally distinguishes the terms, directly testing whether they are synonyms (H1) or different phenomena (H3)
SRC06-E01 Shows borrowed term produces opposite results in LLM context, strongly supporting H3
SRC08-E01 Aviation researchers themselves say their terms are inadequate for AI, supporting both H1 and H3 simultaneously

Least Diagnostic Evidence

Evidence Why Non-Diagnostic
SRC02-E01 Provides taxonomy within AI safety domain only; does not distinguish between hypotheses about cross-domain mapping
SRC07-E01 Confirms adoption of sycophancy term in engineering, but this supports both H1 (map exists) and H2 (engineering lacks its own term)

Outcome

Hypothesis supported: H1 — The vocabulary map is constructable and reveals a rich, fragmented landscape. This is the primary finding.

Hypotheses supported with qualification: H2 — Partially supported for 3 of 8 domains (academic integrity, enterprise software, UX). H3 — Partially supported as a crucial caveat: the terms are related concepts with different causal framings, not simple synonyms.

Hypotheses eliminated: None. All three hypotheses contain partial truth, which is itself the answer to the query.