References

• 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
• 2012Fairness through awareness3,501 cited
• 2014Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err3,203 cited
• 2014Big Data's Disparate Impact3,046 cited
• 2019Algorithm appreciation: People prefer algorithmic to human judgment2,045 cited
• 2018Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management1,334 cited
• 2016Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them1,225 cited
• 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
• 2020In AI we trust? Perceptions about automated decision-making by artificial intelligence1,036 cited
• 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
• 2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias884 cited
• 2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries762 cited
• 2013Discrimination in online ad delivery751 cited
• 2018'It's Reducing a Human Being to a Percentage'690 cited
• 2018The Misgendering Machines