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Transparency
Ethics / Safety / Privacy
Making data, models, and decisions understandable and traceable.
Transparency means that the inner workings, decisions, and data sources of an AI system can be understood and audited. It is essential for accountability and public trust.
- Implementation: Documentation, explainable models, disclosure of limitations.
- Benefit: Enables auditing, debugging, and responsible deployment.