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AI and machine learning introduce complex algorithms which affect your daily life. Despite all the benefits of AI, there are risks that are introduced which can manifest themselves as a bias towards customers or users, in the form of racism, sexism and other forms of discrimination.
These areas are starting to be regulated, and some organisations are calling for these technologies to be banned in some high-risk areas. Ultimately and practically it will be up to technologists to verify whether AI is operating legally and fairly. This issue is explored in detail by Adam who discusses approaches to testing for bias throughout the lifecycle.
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Track Lead: Testing for Bias
Adam has held senior technology roles at Barclays and Deutsche Bank delivering large complex transformation projects and is now CTO of Piccadilly Group, a Test Management Consultancy in Financial Services.