Mitigating bias in AI - introduction webinar and implementation workshop
Join The Alan Turing Institute and Holistic AI for a BridgeAI training programme designed to help companies and workers navigate AI adoption responsibly by understanding and addressing AI bias.
About the event
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.
We are running two independent sessions:
- Introduction webinar – gain awareness of AI bias risks, foundational AI concepts, and high-level mitigation strategies.
- Implementation workshop – explore fairness, bias metrics, and hands-on solutions for mitigating bias through real-world case studies and discussions.
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.
Pre-requisites
There are no prerequisite skills required to attend, but we encourage you to explore the Assessing and mitigating bias and discrimination in AI online course in advance to enable richer discussions. The self-paced course has been designed for businesses, organisations or people developing, evaluating, or distributing AI. The course has been developed to cater to people with different expertise levels.
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Introduction webinar: Friday 28 March 2025, 10:00-11:30
Overview
Participants will be introduced to foundational concepts of AI and high-level strategies for addressing key AI risks. Through real-world examples and interactive discussions, the session introduces fairness concepts and strategies for mitigating bias in AI systems, emphasising its criticality within the broader landscape of AI governance.
What you’ll learn
After the Introduction Webinar, participants will be able to:
- Understand the significance of bias as an AI risk and its placement within AI governance.
- Identify and discuss real-world examples of AI bias.
- Recognise the sources of bias throughout the AI lifecycle and their impacts.
- Distinguish between individual and group fairness, applying these concepts to case studies.
- Gain insight into current regulatory frameworks and tools for bias mitigation in AI systems.
- Evaluate trade-offs between bias mitigation and other AI risk verticals.
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Implementation workshop: Friday 4 April 2025, 10:00-12:00
Overview
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.
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Who is The Alan Turing Institute?
The Alan Turing Institute is the national institute for data science and AI, tackling big challenges in science, society, and the economy through research. The Institute is committed to advancing the world-changing potential of data science and artificial intelligence while promoting ethical and responsible use.
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