{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:31:55Z","timestamp":1750221115565,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,1,27]],"date-time":"2019-01-27T00:00:00Z","timestamp":1548547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,1,27]]},"DOI":"10.1145\/3306618.3314235","type":"proceedings-article","created":{"date-parts":[[2019,7,10]],"date-time":"2019-07-10T12:10:59Z","timestamp":1562760659000},"page":"469-476","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Guiding Prosecutorial Decisions with an Interpretable Statistical Model"],"prefix":"10.1145","author":[{"given":"Zhiyuan","family":"Lin","sequence":"first","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}]},{"given":"Alex","family":"Chohlas-Wood","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}]},{"given":"Sharad","family":"Goel","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2019,1,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Richard Berk. 2012.Criminal justice forecasts of risk: a machine learning approach. Springer Science & Business Media.   Richard Berk. 2012.Criminal justice forecasts of risk: a machine learning approach. Springer Science & Business Media.","DOI":"10.1007\/978-1-4614-3085-8"},{"key":"e_1_3_2_1_2_1","unstructured":"Richard Berk Hoda Heidari Shahin Jabbari Michael Kearns and Aaron Roth. 2017. Fairness in Criminal Justice Risk Assessments: The State of the Art. (2017). Working paper available at https:\/\/arxiv.org\/abs\/1703.09207.  Richard Berk Hoda Heidari Shahin Jabbari Michael Kearns and Aaron Roth. 2017. Fairness in Criminal Justice Risk Assessments: The State of the Art. (2017). Working paper available at https:\/\/arxiv.org\/abs\/1703.09207."},{"key":"e_1_3_2_1_3_1","unstructured":"Ernest W Burgess. 1928. Factors determining success or failure on parole. The workings of the indeterminate sentence law and the parole system in Illinois(1928) 221--234.  Ernest W Burgess. 1928. Factors determining success or failure on parole. The workings of the indeterminate sentence law and the parole system in Illinois(1928) 221--234."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1089\/big.2016.0047"},{"key":"e_1_3_2_1_6_1","unstructured":"Sam Corbett-Davies and Sharad Goel. 2018. The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning. arXiv preprint arXiv:1808.00023(2018).  Sam Corbett-Davies and Sharad Goel. 2018. The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning. arXiv preprint arXiv:1808.00023(2018)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098095"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Stephanie Holmes Didwania. 2018. The Immediate Consequences of Pretrial Detention: Evidence from Federal Criminal Cases. https:\/\/ssrn.com\/abstract=2809818or  Stephanie Holmes Didwania. 2018. The Immediate Consequences of Pretrial Detention: Evidence from Federal Criminal Cases. https:\/\/ssrn.com\/abstract=2809818or","DOI":"10.2139\/ssrn.2809818"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1257\/aer.20161503"},{"key":"e_1_3_2_1_10_1","unstructured":"Finale Doshi-Velez and Been Kim. 2017. Towards a rigorous science of interpretable machine learning. arXiv preprint arXiv:1702.08608(2017).  Finale Doshi-Velez and Been Kim. 2017. Towards a rigorous science of interpretable machine learning. arXiv preprint arXiv:1702.08608(2017)."},{"key":"e_1_3_2_1_11_1","unstructured":"Miroslav Dud\u00edk John Langford and Lihong Li. 2011. Doubly Robust Policy Evaluation and Learning. ICML(2011).   Miroslav Dud\u00edk John Langford and Lihong Li. 2011. Doubly Robust Policy Evaluation and Learning. ICML(2011)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOAS897"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1086\/688907"},{"key":"e_1_3_2_1_14_1","unstructured":"Moritz Hardt Eric Price and Nati Srebro. 2016. Equality of opportunity in supervised learning. In Advances In Neural Information Processing Systems. 3315--3323.   Moritz Hardt Eric Price and Nati Srebro. 2016. Equality of opportunity in supervised learning. In Advances In Neural Information Processing Systems. 3315--3323."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1198\/jcgs.2010.08162"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Guido W Imbens and Donald B Rubin. 2015. Causal inference in statistics social and biomedical sciences. Cambridge University Press.   Guido W Imbens and Donald B Rubin. 2015. Causal inference in statistics social and biomedical sciences. Cambridge University Press.","DOI":"10.1017\/CBO9781139025751"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Jongbin Jung Connor Concannon Ravi Shroff Sharad Goel and Daniel G Goldstein. 2017. Simple rules for complex decisions. arXiv preprint arXiv:1702.04690(2017).  Jongbin Jung Connor Concannon Ravi Shroff Sharad Goel and Daniel G Goldstein. 2017. Simple rules for complex decisions. arXiv preprint arXiv:1702.04690(2017).","DOI":"10.2139\/ssrn.2919024"},{"key":"e_1_3_2_1_18_1","unstructured":"Jongbin Jung Ravi Shroff Avi Feller and Sharad Goel. 2018. Algorithmic Decision Making in the Presence of Unmeasured Confounding. arXiv preprint arXiv:1805.01868(2018).  Jongbin Jung Ravi Shroff Avi Feller and Sharad Goel. 2018. Algorithmic Decision Making in the Presence of Unmeasured Confounding. arXiv preprint arXiv:1805.01868(2018)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1086\/695285"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186062"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"John Monahan Jennifer Skeem and Christopher Lowenkamp. 2017. Age risk assessment and sanctioning: Overestimating the old underestimating the young.Law and human behavior41 2 (2017) 191.  John Monahan Jennifer Skeem and Christopher Lowenkamp. 2017. Age risk assessment and sanctioning: Overestimating the old underestimating the young.Law and human behavior41 2 (2017) 191.","DOI":"10.1037\/lhb0000233"},{"key":"e_1_3_2_1_22_1","unstructured":"Cathy O'Neil. 2016. Weapons of math destruction: How big data increases inequality and threatens democracy. Broadway Books.   Cathy O'Neil. 2016. Weapons of math destruction: How big data increases inequality and threatens democracy. Broadway Books."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Byron P Roe Hai-Jun Yang Ji Zhu Yong Liu Ion Stancu and Gordon McGregor. 2005. Boosted decision trees as an alternative to artificial neural networks for particle identification. Nuclear Instruments and Methods in Physics Research Section A: Accelerators Spectrometers Detectors and Associated Equipment543 2--3 (2005) 577--584.  Byron P Roe Hai-Jun Yang Ji Zhu Yong Liu Ion Stancu and Gordon McGregor. 2005. Boosted decision trees as an alternative to artificial neural networks for particle identification. Nuclear Instruments and Methods in Physics Research Section A: Accelerators Spectrometers Detectors and Associated Equipment543 2--3 (2005) 577--584.","DOI":"10.1016\/j.nima.2004.12.018"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Paul R Rosenbaum and Donald B Rubin. 1983. Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome. Journal of the Royal Statistical Society. Series B (Methodological)(1983) 212--218.  Paul R Rosenbaum and Donald B Rubin. 1983. Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome. Journal of the Royal Statistical Society. Series B (Methodological)(1983) 212--218.","DOI":"10.1111\/j.2517-6161.1983.tb01242.x"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Jennifer Skeem John Monahan and Christopher Lowenkamp. 2016. Gender risk assessment and sanctioning: The cost of treating women like men. Law and human behavior40 5 (2016) 580.  Jennifer Skeem John Monahan and Christopher Lowenkamp. 2016. Gender risk assessment and sanctioning: The cost of treating women like men. Law and human behavior40 5 (2016) 580.","DOI":"10.1037\/lhb0000206"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1111\/1745-9125.12123"},{"key":"e_1_3_2_1_28_1","first-page":"803","article-title":"Evidence-based sentencing and the scientific rationalization of discrimination","volume":"66","author":"Starr Sonja B","year":"2014","journal-title":"Stan. L. Rev."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"State v. Loomis. 2016. 881 N.W.2d 749 (Wis. 2016).  State v. Loomis. 2016. 881 N.W.2d 749 (Wis. 2016).","DOI":"10.1149\/MA2016-01\/11\/749"},{"key":"e_1_3_2_1_30_1","unstructured":"David Word Charles Coleman Robert Nunziata and Robert Kominski. 2008. Demographic aspects of surnames from census 2000. http:\/\/www2.census.gov\/topics\/genealogy\/2000surnames\/surnames.pdf  David Word Charles Coleman Robert Nunziata and Robert Kominski. 2008. Demographic aspects of surnames from census 2000. http:\/\/www2.census.gov\/topics\/genealogy\/2000surnames\/surnames.pdf"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Jiaming Zeng Berk Ustun and Cynthia Rudin. 2016. Interpretable classification models for recidivism prediction.Journal of the Royal Statistical Society: Series A(Statistics in Society)(2016).  Jiaming Zeng Berk Ustun and Cynthia Rudin. 2016. Interpretable classification models for recidivism prediction.Journal of the Royal Statistical Society: Series A(Statistics in Society)(2016).","DOI":"10.1111\/rssa.12227"}],"event":{"name":"AIES '19: AAAI\/ACM Conference on AI, Ethics, and Society","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","AAAI American Association for Artificial Intelligence"],"location":"Honolulu HI USA","acronym":"AIES '19"},"container-title":["Proceedings of the 2019 AAAI\/ACM Conference on AI, Ethics, and Society"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3306618.3314235","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3306618.3314235","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:02:03Z","timestamp":1750208523000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3306618.3314235"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,27]]},"references-count":31,"alternative-id":["10.1145\/3306618.3314235","10.1145\/3306618"],"URL":"https:\/\/doi.org\/10.1145\/3306618.3314235","relation":{},"subject":[],"published":{"date-parts":[[2019,1,27]]},"assertion":[{"value":"2019-01-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}