AI is reshaping industries, yet critical challenges – such as bias, fairness, and accountability – persist. As part of our DIVERSIFAIR mission, Turing College is launching a specialised training programme to help AI practitioners build more inclusive and ...
This tutorial series offers a hands-on guide to fairness-aware machine learning that targets beginners in Fair-ML.
An investigation into the fairness and bias implications of multimodal fusion techniques in AI-driven recruitment systems using the FairCVdb dataset, examining how different fusion strategies influence bias and impact fairness in hiring decisions.
Educational kits for civil society, industry and policy. Easy-to-understand resources explaining AI bias and fairness. Designed for anyone—no technical background required. Practical case studies showing real-world examples.
