Fairness | Professional website of Sébastien Marcel

CERTAIN

Wed, 01 Jan 2025 00:00:00 +0000

CERTAIN focuses on the ethical and regulatory transparency of AI systems, with the goal of helping organizations assess and improve compliance in a practical and technically grounded way.

The project delivers guidelines and tools to support regulatory compliance, assess data quality, measure bias in datasets, and protect privacy. It aligns closely with broader work on trustworthy biometrics and responsible AI by combining technical evaluation with legal, ethical, and operational considerations.

SAFER

Tue, 01 Mar 2022 00:00:00 +0000

SAFER addresses fairness and ethics in face recognition.

The project investigates how to assess and reduce unfair performance differences across demographic groups, with work spanning both training-time and scoring-time strategies. It also explores the role of synthetic and diverse datasets in improving the responsible development of face recognition systems.

SAFER reflects a broader commitment to trustworthy biometrics by combining technical performance with fairness, transparency, and responsible deployment.