Explainability is essential for AI models to provide a human-understandable explanation of how an algorithm arrives at a decision. In the context of facial recognition, this involves clarifying ...
Fairness and non-discrimination. 3. Transparency and explainability. 4. Human oversight. 5. Data governance and record keeping. 6. Robustness and performance. The principle of proportionality ...
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