Fair, human-centred AI

Automated systems make decisions about people: who is approved, flagged, treated or heard. When those systems are biased or opaque, people stop trusting them, and rightly so. This hub treats fairness and human impact as risks to manage, not slogans. It covers where bias comes from, how it connects to privacy and security, and what it takes to keep AI useful to the people it affects, from healthcare to everyday services. The focus stays on evidence and on what organizations can actually do.