Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Why Machine Learning May Lead to Unfairness

16 references·12 citing·28 second hop

FromToDepth

this work references cited by second hop

References

2012Fairness through awareness3,501 cited
2014Big Data's Disparate Impact3,046 cited
2016Equality of Opportunity in Supervised Learning2,535 cited
2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
1992Do girls manipulate and boys fight? developmental trends in regard to direct and indirect aggression1,597 cited
2011Extraneous factors in judicial decisions1,431 cited
2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
2017Human Decisions and Machine Predictions1,039 cited
2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
2019A comparative study of fairness-enhancing interventions in machine learning601 cited
2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
2017Human Decisions and Machine Predictions545 cited
2018The Measure and Mismeasure of Fairness445 cited
2009Risk Assessment With Young Offenders347 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2006

Manual for the Structured Assessment of Violence Risk in Youth (SAVRY)

323 cited

Cited by

2021Preserving the rule of law in the era of artificial intelligence (AI)166 cited
2023Algorithms in the court: does it matter which part of the judicial decision-making is automated?77 cited
2021Missing the missing values: The ugly duckling of fairness in machine learning62 cited
2020Evaluating causes of algorithmic bias in juvenile criminal recidivism51 cited
2022Towards a multi-stakeholder value-based assessment framework for algorithmic systems42 cited
2023The landscape of data and AI documentation approaches in the European policy context22 cited
2022Making sense of decision support systems: Rationales, translations and potentials for critical reflections on the reality of child protection20 cited
2022Reflections on the human role in AI policy formulations: how do national AI strategies view people?17 cited
2023On (assessing) the fairness of risk score models17 cited
2024Fairness and Bias in Robot Learning16 cited
2023Unfairness in Machine Learning for Web Systems Applications13 cited
2025Is there a tension between AI safety and AI welfare?12 cited