References

• 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
• 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
• 2014Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err3,203 cited
• 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
• 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,071 cited
• 2014Big Data's Disparate Impact3,046 cited
• 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
• 1990The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies.2,780 cited
• 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
• 2001Social Implications of the Internet2,040 cited
• 2017Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning1,928 cited
• 2020Race after technology. Abolitionist tools for the new Jim Code1,870 cited
• 2001Time Matters: On Theory and Method1,240 cited
• 2016Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them1,225 cited