Taking Responsibility for Diversity and Bias in AI Report
The findings draw on insights from a UKAI parliamentary roundtable bringing together leaders from business, academia, and civil society. The discussion highlighted that fairness is not just an ethical issue but a strategic and commercial one. Companies that embed inclusion into their AI design are more likely to win public confidence, attract talent, and unlock new markets.
Through real-world examples, from recruitment to healthcare, the report shows how bias emerges when teams lack diversity, data is unrepresentative, or systems are too opaque to challenge. It calls for early intervention, greater transparency, and leadership across all sectors to prevent bias from becoming the default.