Fairness / Bias Auditor

Overview

This practical training course equips participants with the skills to audit fairness and bias in high-risk AI systems. It focuses on identifying, measuring, and mitigating unfair outcomes to ensure compliance with the EU AI Act and promote ethical AI deployment.

What You Will Learn

• Calculate key fairness metrics such as demographic parity, equalised odds, and others
• Perform comprehensive bias audits on both datasets and trained models
• Recommend and implement appropriate bias mitigation strategies
• Document fairness assessments for regulatory and internal review

Who Should Take This Course

This course is designed for Fairness Auditors, Bias Specialists, Data Scientists, Compliance Officers, Risk Managers, and professionals responsible for ensuring non-discrimination and fairness in AI systems.

Course Format

AI Assurance E-Learning Platform - Self-paced online.

Key Benefits

• Practical ability to measure and audit fairness in AI systems
• Clear understanding of bias detection and mitigation techniques
• Skills to support regulatory compliance on non-discrimination
• Confidence in conducting professional fairness assessments

Body of Knowledge - Mapped to Standards and Regulations

• Fairness Definitions & Metrics (statistical fairness concepts, EU AI Act Article 10)
• Bias Audit Process (dataset and model auditing steps, prEN 18228 Clause 6)
• Mitigation Strategies (re-weighting, adversarial debiasing, EU AI Office guidelines)

Key Takeaways

• Understanding of the Fairness / Bias Auditor role and responsibilities
• Core knowledge and practical skills in fairness auditing
• Clarity on risk and control responsibilities
• Awareness of key duties and performance indicators for the role

Certificate

Participants will receive a certificate of completion upon finishing the course.