ai-transparency-reqs
Installation
SKILL.md
AI Transparency Requirements
Overview
AI transparency operates at the intersection of two regulatory frameworks: the GDPR's data subject information rights (Arts. 13-14) and the EU AI Act's transparency obligations (Arts. 13-14, 50). Together they require controllers and deployers to provide meaningful, accessible information about AI system capabilities, limitations, decision logic, and personal data processing. This skill implements the combined transparency framework, addressing both the technical explainability challenge of complex ML models and the legal obligation to communicate AI processing in plain language to affected individuals.
GDPR Transparency for AI Systems
Art. 13-14 Information Requirements Applied to AI
When personal data is processed by AI systems, data subjects must receive:
| Information Element | GDPR Article | AI-Specific Application |
|---|---|---|
| Purposes of processing | Art. 13(1)(c) / 14(1)(c) | Specific AI use case, not generic "service improvement" |
| Lawful basis | Art. 13(1)(c) / 14(1)(c) | The basis for AI training and for AI inference separately |
| Legitimate interest | Art. 13(1)(d) / 14(2)(b) | The specific interest served by AI processing |
| Recipients | Art. 13(1)(e) / 14(1)(e) | AI infrastructure providers, model hosting services |
| International transfers | Art. 13(1)(f) / 14(1)(f) | Where AI processing occurs (training and inference locations) |
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