R0043/2026-03-28/Q002/SRC06
FSSCC AI Risk Management Framework
Source
| Field |
Value |
| Title |
FSSCC AI Risk Management Framework |
| Publisher |
Various |
| Author(s) |
Various |
| Date |
2024-2025 |
| 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 |
| Type |
Government framework/policy |
Summary
| Dimension |
Rating |
| Reliability |
High |
| Relevance |
Medium-High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
N/A |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Authoritative government or industry framework |
| Relevance |
Addresses AI governance requirements relevant to sycophancy-adjacent phenomena |
| Bias flags |
No significant concerns |
| Evidence ID |
Summary |
| SRC06-E01 |
230 control objectives across governance, data, model development, validation, monitoring — none specifically targeting AI agreeableness |