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R0042/2026-04-01/Q002/H2

Research R0042 — Private AI Motivations
Run 2026-04-01
Query Q002
Hypothesis H2

Statement

Behavioral customization is documented as a secondary motivation for private AI deployment, but it is primarily about brand voice, domain specialization, and governance compliance — not about sycophancy control or fundamental response characteristic adjustment.

Status

Current: Supported

Supporting Evidence

Evidence Summary
SRC01-E01 Sovereign AI includes behavioral governance focused on transparency, fairness, and auditability
SRC03-E01 On-prem customization means domain accuracy and business-specific training
SRC02-E01 Sycophancy is discussed as a problem but solutions proposed are technical fixes, not private deployment

Contradicting Evidence

Evidence Summary
None No evidence contradicts the characterization of behavioral customization as secondary and non-sycophancy-focused

Reasoning

Multiple sources document customization as a private AI motivation (Deepset: behavioral governance; Allganize: domain accuracy and brand voice; enterprise fine-tuning literature: brand voice alignment). But across all sources, the customization discussed is about making AI more accurate, domain-appropriate, and brand-aligned — not about correcting fundamental behavioral defects like sycophancy. The two conversations (enterprise deployment and AI safety) remain separate.

Relationship to Other Hypotheses

H2 occupies the middle ground between H1 (sycophancy control is prominent) and H3 (customization is not mentioned at all). The evidence strongly supports H2 as the most accurate representation.