Fairness

Research Theme 1: Fairness and anti-discrimination in automated decision- making

Robot hand

Across the economy, in areas such as law, health and finance, human-made decisions are being increasingly informed by automated tools. These decisions can have a major effect on human lives, such as predicting recidivism, assessing job and loan applications, offering health services, or diagnosing medical conditions. This leads to the possibility of biased decisions that discriminate against certain individuals and groups; for example, based on ethnic background, gender, or sexuality. The Fairness theme will research new algorithms and models to detect and remediate bias in data-driven automated decision-making systems in a manner that is consistent with existing legal regimes and responsive to future challenges.