Mitigating bias in AI - implementation workshop

Hosted by The Alan Turing Institute in collaboration with Holistic AI, this training programme is designed to support companies and professionals in responsible AI adoption. Part of the BridgeAI initiative, it provides essential knowledge and practical tools to identify and mitigate bias in AI systems.

Through guided discussions, real-world examples, and a hands-on practical component, attendees will gain the skills and knowledge necessary to adopt effective bias mitigation and AI governance strategies tailored to their organisational needs.

What you’ll learn
After the Introduction Webinar, participants will be able to:

• Recognise the sources of bias throughout the AI lifecycle and their impacts.
• Understand and differentiate between fairness notions and how to select appropriate bias metrics for specific AI use cases.
• Apply technical solutions for bias mitigation, including pre-processing, in-processing, and post-processing techniques.
• Collaborate effectively to solve practical bias mitigation challenges using a Google Colab notebook.
• Gain confidence in implementing bias mitigation strategies in their organisational contexts.
• Evaluate trade-offs between bias mitigation and other AI risk verticals.

Who should attend?

• Business leaders from SMEs, making strategic decisions to implement AI in organisations.
• Business professionals from SMEs (including those involved in AI system development or adoption) and related stakeholders.
• Responsible AI enthusiasts, advocates and practitioners who want to network and exchange views on how to implement AI responsibly.

Please note that the introduction webinar is targeted at those in early adoption stage, beginning their AI journey while the implementation workshop is targeted at those in the development stage and ready to implement.

You are welcome to join one or both sessions depending on your stage, interest and needs.

Register for this event