Combat Algorithmic Discrimination: Bias Audit & Mitigation

Our audit and technical implementation service involves conducting comprehensive AI bias audits and fairness assessments using quantitative metrics. We help you identify and mitigate biases throughout the AI lifecycle—from data collection to model deployment—to ensure fairness and non-discrimination.

This aligns with EU AI Act Article 10(3) (Data governance for high-risk AI systems, specifically on bias detection) and GDPR Article 5(1)(a) (Lawfulness, fairness and transparency).

A systematic AI bias audit process, including the application of quantitative fairness metrics (e.g., Demographic Parity, Equalized Odds) to detect biases, and the implementation of mitigation techniques at pre-processing, in-processing, or post-processing stages.