XAIface

Measuring and Improving Explainability for AI-based Face Recognition.

Face recognition has become a key technology in our society, frequently used in multiple applications, while creating an impact in terms of privacy. As face recognition solutions based on machine learning are becoming popular it is critical to fully understand and explain how these technologies work in order to make them more effective and accepted by society.

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Explainable face recognition

We aim to help make face recognition fully explainable.

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Metrics

New metrics will be defined to assess explainability.

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Open Source

The outcomes of the project will be made publicly available.