In the search for ways to build greater trust in AI across the world, the concept of AI assurance is rapidly gaining traction. It covers a wide range of activities, but what they have in common is the aim to investigate, and then communicate, whether AI systems are reliable and trustworthy. Used effectively, AI assurance should increase confidence of anyone considering deploying AI as well as those whose lives may be impacted by this deployment.

But choosing the right approach to AI assurance is not a simple task, and as the emphasis on assurance is growing among policymakers and regulators, so is the number of organisations faced with such choices.

In this webinar you will hear from techUK members working in different fields who have made progress on AI assurance. They will share what their approach is so far, what they're looking to achieve and what are some of the difficult decisions they have had to make in the process. Following their presentations, the audience can share their own considerations and ask questions of the expert presenters.

 

 

 

Speakers include:

Chris Anley

Chris Anley

Chief Scientist, NCC Group

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Jacob Beswick

Jacob Beswick

Director for AI Governance Solutions, Dataiku

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Xin Chen

Xin Chen

Executive Director, European Lead on AI, Data Governance Policy, Standards & Industry Digitization, Huawei Technologies

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Lee Glazier

Lee Glazier

Head of Service Integrity, Rolls-Royce

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Dr Hsiao-Ying Lin

Dr Hsiao-Ying Lin

Principal researcher, Trustworthy AI Lab, Huawei Technologies

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Ben Montgomery

Ben Montgomery

Senior Governance Consultant, Dataiku

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Emilie Sundorph

Emilie Sundorph

Programme Manager, Digital Ethics & AI, techUK

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