AI Bias, Fairness and Performance Testing
This practical course shows you how to assess AI bias and performance testing practices in support of effective risk management and regulatory compliance.
- 4 CPD Units
- 4 Hours
- All Levels
How can organisations ensure that AI systems are fair, reliable and compliant? This practical course shows you how to assess AI bias and performance testing practices in support of effective risk management and regulatory compliance. Through clear explanations, actionable frameworks and real-world case studies, you will learn to identify sources of bias, interpret key performance and fairness metrics, evaluate audit evidence, and align oversight with the EU AI Act. By the end of the course, you will be equipped to challenge assumptions, strengthen controls and support accountable AI deployment.
Learning Objectives
By the end of this module, you will be able to:
• Understand how bias and discrimination can arise in AI systems across the development lifecycle
• Interpret statistical concepts that underpin common bias and performance testing approaches
• Evaluate fairness and performance metrics, including their limitations and trade-offs
• Assess whether bias and performance testing practices are proportionate to identified risks
• Determine what constitutes adequate audit evidence for testing results
• Align bias and performance testing outputs with EU AI Act Annex IV requirements
• Challenge testing methodologies and results from a governance perspective
Modules
1. Introduction to Bias & Performance Testing in AI Systems
2. Fairness, Bias & Non-Discrimination: Concepts and Governance
Statistical Concepts for GRC Professionals
3. Bias Testing Approaches and Interpretation of Metrics
4. Audit Evidence for Bias & Performance Testing
5. Aligning Testing with EU AI Act Annex IV
6. Practitioner Insight: From Metrics to Defensible AI Assurance
7. Case Study: Bias & Performance Testing in Practice
Training Duration
This course may take up to 4 hours to be completed. However, actual study time differs as each learner uses their own training pace.
Target Audience
This course is ideal for governance, risk and compliance professionals who wish to develop a practical understanding of AI bias, fairness and performance testing, including relevant metrics, audit evidence and governance considerations.
Training Method
The course is offered fully online using a self-paced approach. The learning units consist of text, multimedia content and case studies. Learners may start, stop and resume their training at any time.
At the end of the course, participants take a quiz to assess their understanding and complete their training. Upon successful completion, participants receive a Certificate of Completion.
Registration and Access
To register to this course, click on the ”Add To Cart” button to pay online and receive your access instantly. If you are purchasing this course on behalf of others, please be advised that you will need to create or use their personal profile before finalising your payment.
Access to the course is valid for 180 days.
If you wish to receive an invoice instead of paying online, please Contact us here. Talk to us for our special Corporate Group rates.
This programme has been developed by the European Institute of Management and Finance (EIMF), a globally recognised training institution.
The syllabus has been reviewed by external subject matter experts and focuses on AI bias and performance testing, fairness, governance and EU AI Act compliance. The course may be eligible for 4 CPD Units, subject to approval by relevant professional bodies, regulators and other organisations that recognise education in these areas.
Eligibility criteria and the number of CPD Units awarded are determined and verified directly by the relevant professional association, regulator or other body with which you hold membership.
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