1. Bias detectives: the researchers striving to make algorithms fair;Courtland;Nature,2018
2. The accuracy, fairness, and limits of predicting recidivism;Dressel;Sci. Adv.,2018
3. Gender shades: intersectional accuracy disparities in commercial gender classification;Buolamwini,2018
4. Actionable auditing: investigating the impact of publicly naming biased performance results of commercial AI products;Raji,2019
5. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy;O'Neil,2017