About FairLens

FairLens provides hands-on access to algorithmic fairness techniques. Each technique offers a distinct approach to reducing bias in predictive models, and comes with interactive before-and-after visualizations so you can see real tradeoffs between fairness metrics and model accuracy. Whether you are a student exploring responsible AI, a data scientist evaluating debiasing methods, or a policy professional assessing model equity, FairLens is designed to make fairness techniques transparent, comparable, and actionable. Use the tabs above to explore each technique, examine the data, and draw your own informed conclusions.