R0043/2026-03-28/Q002/SRC06/E01¶
230 control objectives across governance, data, model development, validation, monitoring — none specifically targeting AI agreeableness
URL: https://www.lowenstein.com/news-insights/publications/client-alerts/financial-services-ai-risk-management-framework-operationalizing-the-230-control-objectives-before-the-market-wakes-up-data-privacy
Extract¶
230 control objectives across governance, data, model development, validation, monitoring — none specifically targeting AI agreeableness
Relevance to Hypotheses¶
| Hypothesis | Relationship | Strength |
|---|---|---|
| H1 | Contradicts | Requirements exist but are indirect/general, not direct anti-sycophancy provisions |
| H2 | Contradicts | Requirements addressing the phenomenon do exist |
| H3 | Supports | Requirements are general governance/trustworthiness rather than specific behavioral constraints |
Context¶
Part of the pattern identified across Q002: regulated industries address AI behavioral risks through general governance frameworks rather than specific system-behavior requirements.