https://taxonomy.eticas.ai/risk/monitoring-evaluation-gaps
Maturity: emerging
Lack of ongoing monitoring that renders datasets obsolete and system outputs unreliable, including absence of feedback mechanisms and periodic evaluation.
This subcategory is emerging. It has not yet been validated through established assessment methods.
Also known as: Monitoring, feedback, evaluation
System type: ADM and LLM systems
Lifecycle stages: Post Processing
| Framework | Reference |
|---|---|
| EU AI Act (Regulation 2024/1689) | Article 72 — Post-market monitoring |
| ISO/IEC 42001:2023 — AI Management System | AI system operation and monitoring |
| AIUC-1 — AI Underwriting Company Standard | Monitor AI risk categories |
| NIST AI Risk Management Framework (AI 100-1) | MANAGE 4 — post-deployment monitoring |
| Framework | Reference |
|---|---|
| W3C Data Privacy Vocabulary — AI Extension | Monitoring Control |
Source: HRA project taxonomy