A review of predictive policing from the perspective of fairness
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Juan E. Gilbert | Kiana Alikhademi | Emma Drobina | Brianna Richardson | Diandra Prioleau | Duncan Purves | D. Purves | Kiana Alikhademi | E. Drobina | Diandra Prioleau | Brianna Richardson | J. Gilbert
[1] K. Crawford,et al. Dirty Data, Bad Predictions: How Civil Rights Violations Impact Police Data, Predictive Policing Systems, and Justice , 2019 .
[2] Suresh Venkatasubramanian,et al. Runaway Feedback Loops in Predictive Policing , 2017, FAT.
[3] N. Cristianini,et al. Machine Decisions and Human Consequences , 2018, Algorithmic Regulation.
[4] Guillermo Sapiro,et al. Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare , 2019, ArXiv.
[5] Julia Rubin,et al. Fairness Definitions Explained , 2018, 2018 IEEE/ACM International Workshop on Software Fairness (FairWare).
[6] Toniann Pitassi,et al. Fairness through awareness , 2011, ITCS '12.
[7] Vidushi Marda,et al. Data in New Delhi's predictive policing system , 2020, FAT*.
[8] Kush R. Varshney,et al. Bias Mitigation Post-processing for Individual and Group Fairness , 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[9] Martin Wattenberg,et al. The What-If Tool: Interactive Probing of Machine Learning Models , 2019, IEEE Transactions on Visualization and Computer Graphics.
[10] Micah Altman,et al. A Harm-Reduction Framework for Algorithmic Fairness , 2018, IEEE Security & Privacy.
[11] Kristina Lerman,et al. A Survey on Bias and Fairness in Machine Learning , 2019, ACM Comput. Surv..
[12] Andrea L. Bertozzi,et al. Randomized Controlled Field Trials of Predictive Policing , 2015 .
[13] Ephraim Nissan,et al. Digital technologies and artificial intelligence’s present and foreseeable impact on lawyering, judging, policing and law enforcement , 2015, AI & SOCIETY.
[14] Sebastian Benthall,et al. Racial categories in machine learning , 2018, FAT.
[15] J. Chan,et al. Algorithmic prediction in policing: assumptions, evaluation, and accountability , 2016 .
[16] Andrew Guthrie Ferguson,et al. Policing Predictive Policing , 2016 .
[17] Gian Maria Campedelli,et al. Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime , 2019, Journal of Computational Social Science.
[18] Suresh Venkatasubramanian,et al. A comparative study of fairness-enhancing interventions in machine learning , 2018, FAT.
[19] K. Lum,et al. To predict and serve? , 2016 .
[20] Peter M. Asaro,et al. AI Ethics in Predictive Policing: From Models of Threat to an Ethics of Care , 2019, IEEE Technology and Society Magazine.
[21] Krishna P. Gummadi,et al. An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision , 2019, ArXiv.
[22] P. Jeffrey Brantingham,et al. Does Predictive Policing Lead to Biased Arrests? Results From a Randomized Controlled Trial , 2018 .
[23] Hanna M. Wallach,et al. Fairlearn: A toolkit for assessing and improving fairness in AI , 2020 .
[24] Reuben Binns,et al. What Can Political Philosophy Teach Us about Algorithmic Fairness? , 2018, IEEE Security & Privacy.
[25] Annette Vestby,et al. Machine Learning and the Police: Asking the Right Questions , 2019, Policing: A Journal of Policy and Practice.
[26] Patrick Perrot. What about AI in criminal intelligence? From predictive policing to AI perspectives , 2017 .
[27] Rachel K. E. Bellamy,et al. AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias , 2018, ArXiv.
[28] Inioluwa Deborah Raji,et al. On the Legal Compatibility of Fairness Definitions , 2019, ArXiv.
[29] Krishna P. Gummadi,et al. A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices , 2018, KDD.
[30] Vasant Honavar,et al. Algorithmic Bias in Recidivism Prediction: A Causal Perspective , 2019, AAAI.
[31] Kush R. Varshney,et al. Optimized Data Pre-Processing for Discrimination Prevention , 2017, ArXiv.
[32] R. B. Santos. Critic: Predictive Policing: Where’s the Evidence? , 2019 .
[33] A. Persson,et al. How to make decisions with algorithms , 2017 .
[34] Krishna P. Gummadi,et al. A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity , 2018, ArXiv.
[35] Alexandra Chouldechova,et al. Fair prediction with disparate impact: A study of bias in recidivism prediction instruments , 2016, Big Data.
[36] Sharad Goel,et al. The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning , 2018, ArXiv.
[37] M. Kearns,et al. Fairness in Criminal Justice Risk Assessments: The State of the Art , 2017, Sociological Methods & Research.
[38] Andrew D. Selbst. Disparate Impact in Big Data Policing , 2017 .
[39] Carter C. Price,et al. Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations , 2013 .
[40] Yongjie Yang,et al. Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems , 2019, Algorithms.
[41] Rayid Ghani,et al. Aequitas: A Bias and Fairness Audit Toolkit , 2018, ArXiv.
[42] Olfa Nasraoui,et al. Transparency in Fair Machine Learning: the Case of Explainable Recommender Systems , 2018, Human and Machine Learning.
[43] Elizabeth E. Joh. Artificial Intelligence and Policing: First Questions , 2018 .
[44] Bettina Berendt,et al. What is wrong about Robocops as consultants? A technology-centric critique of predictive policing , 2018, AI & SOCIETY.
[45] Avi Feller,et al. Algorithmic Decision Making and the Cost of Fairness , 2017, KDD.
[46] Iordanis Kavathatzopoulos,et al. How to make decisions with algorithms: ethical decision-making using algorithms within predictive analytics , 2018, CSOC.