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AI Use Case

Search for and challenge inbuilt bias in algorithms

Search for inbuilt bias in algorithms will be a growing field. This will be driven by growing regulatory, press interest, consumer unease, potential legal challenge and a need to avoid black box AI. Management teams will also want to understand algorithm outcomes to ensure that the business is being optimised appropriately.





Other - Reduce unconscious bias,Risk reduction - Reduced legal exposure,Operational Support - Process visualisation

Case Studies

Google~Google Brain researchers develops a method to avoid machine learning model discrimination against legally protected attributes

Potential Vendors


Data Sets

Structured / Semi-structured

AI Technologies

Machine Learning (ML),ML Task - Grouping - Clustering

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