Information for Interested Parties
Description
Addresses transparency and communication requirements including AI system disclosure, explainability of decisions, user information provision, and incident communication.
Controls
| ID | Control | Description |
|---|---|---|
| A.7.1 | Transparency about AI use | Clear disclosure when individuals interact with AI systems or when AI significantly influences decisions affecting them. |
| A.7.2 | Explainability of AI system outcomes | Provision of meaningful explanations for AI decisions appropriate to the audience and system risk level. |
| A.7.3 | Information for users of AI systems | Comprehensive information to AI system users about capabilities, limitations, proper use, and recourse mechanisms. |
| A.7.4 | Communication of AI system incidents | Timely and appropriate communication to affected parties about AI system failures, security incidents, or adverse impact... |
Implementation Guidance
Deploy AI disclosure mechanisms (visual indicators, notifications) whenever users interact with automated systems. Implement model interpretability tools (SHAP, LIME) providing feature importance and counterfactual explanations. Develop user-facing documentation explaining AI system purpose, accuracy metrics, limitations, and human oversight availability. Establish incident communication protocols with notification thresholds and templates for different stakeholder groups.
Evidence Requirements
AI disclosure notices and user interfaces
Explainability documentation and examples
User guides and AI system cards
Incident communication procedures and logs