The Centre for Data Ethics and Innovation (CDEI) plans to run a Fairness Innovation Challenge to support the development of novel solutions to address bias and discrimination across the AI lifecycle. However, organisations seeking to address these challenges in real world examples continue to face a range of challenges, including:

• Lacking access to the demographic data they need to identify and mitigate unfair bias and discrimination in their systems.

• Understanding how to usefully apply a complex range of statistical notions of bias to understand the fairness of real world outcomes in their particular context.

• Ensuring that any bias mitigation techniques used are themselves ethical and legal in the UK context.

The challenge also aims to provide greater clarity about which assurance tools and techniques can be applied to address and improve fairness in AI systems, and encourage the development of holistic approaches to bias detection and mitigation, that move beyond purely technical notions of fairness. Find out more in the blog below.