{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T22:03:40Z","timestamp":1776117820050,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T00:00:00Z","timestamp":1626825600000},"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":[[2021,7,21]]},"DOI":"10.1145\/3461702.3462585","type":"proceedings-article","created":{"date-parts":[[2021,7,31]],"date-time":"2021-07-31T01:21:32Z","timestamp":1627694492000},"page":"379-389","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Automating Procedurally Fair Feature Selection in Machine Learning"],"prefix":"10.1145","author":[{"given":"Clara","family":"Belitz","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Champaign, IL, USA"}]},{"given":"Lan","family":"Jiang","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Champaign, IL, USA"}]},{"given":"Nigel","family":"Bosch","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Champaign, IL, USA"}]}],"member":"320","published-online":{"date-parts":[[2021,7,30]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq134"},{"key":"e_1_3_2_1_2_1","volume-title":"d Baker and Kalina Yacef","author":"Ryan S.","year":"2009","unstructured":"Ryan S. J. d Baker and Kalina Yacef . 2009 . The state of educational data mining in 2009: a review and future visions. JEDM textbar Journal of Educational Data Mining , Vol. 1 , 1 (Oct. 2009), 3--17. https:\/\/doi.org\/10.5281\/zenodo.3554657 Ryan S. J. d Baker and Kalina Yacef. 2009. The state of educational data mining in 2009: a review and future visions. JEDM textbar Journal of Educational Data Mining, Vol. 1, 1 (Oct. 2009), 3--17. https:\/\/doi.org\/10.5281\/zenodo.3554657"},{"key":"e_1_3_2_1_3_1","article-title":"Big data's disparate impact","volume":"104","author":"Barocas Solon","year":"2016","unstructured":"Solon Barocas and Andrew D. Selbst . 2016 . Big data's disparate impact . California Law Review , Vol. 104 , 671 (2016). Solon Barocas and Andrew D. Selbst. 2016. Big data's disparate impact. California Law Review, Vol. 104, 671 (2016).","journal-title":"California Law Review"},{"key":"e_1_3_2_1_4_1","volume-title":"Fairness in criminal justice risk assessments: the state of the art. arXiv:1703.09207 (May","author":"Berk Richard","year":"2017","unstructured":"Richard Berk , Hoda Heidari , Shahin Jabbari , Michael Kearns , and Aaron Roth . 2017. Fairness in criminal justice risk assessments: the state of the art. arXiv:1703.09207 (May 2017 ). Richard Berk, Hoda Heidari, Shahin Jabbari, Michael Kearns, and Aaron Roth. 2017. Fairness in criminal justice risk assessments: the state of the art. arXiv:1703.09207 (May 2017)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1080\/1369118X.2010.530673"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_7_1","volume-title":"Classification and Regression Trees","author":"Breiman Leo","unstructured":"Leo Breiman , Jerome Friedman , Charles J Stone , and Richard A Olshen . 1984. Classification and Regression Trees . CRC Press . Leo Breiman, Jerome Friedman, Charles J Stone, and Richard A Olshen. 1984. Classification and Regression Trees. CRC Press."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0190-x"},{"key":"e_1_3_2_1_9_1","first-page":"I","article-title":"Optimized Pre-Processing for Discrimination Prevention","volume":"30","author":"Calmon Flavio","year":"2017","unstructured":"Flavio Calmon , Dennis Wei , Bhanukiran Vinzamuri , Karthikeyan Natesan Ramamurthy , and Kush R Varshney . 2017 . Optimized Pre-Processing for Discrimination Prevention . In Advances in Neural Information Processing Systems 30 , I . Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). Curran Associates, Inc., 3992--4001. Flavio Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, and Kush R Varshney. 2017. Optimized Pre-Processing for Discrimination Prevention. In Advances in Neural Information Processing Systems 30, I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). Curran Associates, Inc., 3992--4001.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017801"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1089\/big.2016.0047"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1177\/001316446002000104"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/joop.12023"},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 5th FUture BUsiness TEChnology Conference (FUBUTEC","author":"Cortez Paulo","year":"2008","unstructured":"Paulo Cortez and Alice Silva . 2008 . Using data mining to predict secondary school student performance . In Proceedings of the 5th FUture BUsiness TEChnology Conference (FUBUTEC 2008). 5--12. Paulo Cortez and Alice Silva. 2008. Using data mining to predict secondary school student performance. In Proceedings of the 5th FUture BUsiness TEChnology Conference (FUBUTEC 2008). 5--12."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2090236.2090255"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.3102\/0091732X20903304"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974348.17"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287589"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009778005914"},{"key":"e_1_3_2_1_20_1","volume-title":"On Formalizing Fairness in Prediction with Machine Learning. arXiv:1710.03184 (May","author":"Gajane Pratik","year":"2018","unstructured":"Pratik Gajane and Mykola Pechenizkiy . 2018. On Formalizing Fairness in Prediction with Machine Learning. arXiv:1710.03184 (May 2018 ). http:\/\/arxiv.org\/abs\/1710.03184 arXiv: 1710.03184. Pratik Gajane and Mykola Pechenizkiy. 2018. On Formalizing Fairness in Prediction with Machine Learning. arXiv:1710.03184 (May 2018). http:\/\/arxiv.org\/abs\/1710.03184 arXiv: 1710.03184."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3303772.3303791"},{"key":"e_1_3_2_1_22_1","volume-title":"Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. In Thirty-Second AAAI Conference on Artificial Intelligence.","author":"Zafar Muhammad Bilal","year":"2018","unstructured":"Muhammad Bilal Zafar , Krishna P. Gummadi , and Adrian Weller . 2018 . Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. In Thirty-Second AAAI Conference on Artificial Intelligence. Muhammad Bilal Zafar, Krishna P. Gummadi, and Adrian Weller. 2018. Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. In Thirty-Second AAAI Conference on Artificial Intelligence."},{"key":"e_1_3_2_1_23_1","volume-title":"Equality of Opportunity in Supervised Learning. In NIPS'16: Proceedings of the 30th International Conference on Neural Information Processing Systems. 3323--3331","author":"Hardt Moritz","year":"2016","unstructured":"Moritz Hardt , Eric Price , Eric Price , and Nati Srebro . 2016 . Equality of Opportunity in Supervised Learning. In NIPS'16: Proceedings of the 30th International Conference on Neural Information Processing Systems. 3323--3331 . https:\/\/doi.org\/10.5555\/3157382.3157469 Moritz Hardt, Eric Price, Eric Price, and Nati Srebro. 2016. Equality of Opportunity in Supervised Learning. In NIPS'16: Proceedings of the 30th International Conference on Neural Information Processing Systems. 3323--3331. https:\/\/doi.org\/10.5555\/3157382.3157469"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.11591\/ijeecs.v9.i2.pp447-459"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287600"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2013.47"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372829"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-011-0463-8"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33486-3_3"},{"key":"e_1_3_2_1_30_1","volume-title":"Inherent trade-offs in the fair determination of risk scores. arXiv:1609.05807 (Nov","author":"Kleinberg Jon","year":"2016","unstructured":"Jon Kleinberg , Sendhil Mullainathan , and Manish Raghavan . 2016. Inherent trade-offs in the fair determination of risk scores. arXiv:1609.05807 (Nov . 2016 ). Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan. 2016. Inherent trade-offs in the fair determination of risk scores. arXiv:1609.05807 (Nov. 2016)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/3001460.3001502"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008280620621"},{"key":"e_1_3_2_1_33_1","first-page":"I","article-title":"Counterfactual fairness","volume":"30","author":"Kusner Matt J","year":"2017","unstructured":"Matt J Kusner , Joshua Loftus , Chris Russell , and Ricardo Silva . 2017 . Counterfactual fairness . In Advances in Neural Information Processing Systems 30 , I . Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). Curran Associates, Inc., 4066--4076. Matt J Kusner, Joshua Loftus, Chris Russell, and Ricardo Silva. 2017. Counterfactual fairness. In Advances in Neural Information Processing Systems 30, I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). Curran Associates, Inc., 4066--4076.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/862"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1111\/bjet.12156"},{"key":"e_1_3_2_1_36_1","volume-title":"Weapons of math destruction: How big data increases inequality and threatens democracy 1 ed.)","author":"O'Neil Cathy","unstructured":"Cathy O'Neil . 2016. Weapons of math destruction: How big data increases inequality and threatens democracy 1 ed.) . Crown Publishers , New York, NY . Cathy O'Neil. 2016. Weapons of math destruction: How big data increases inequality and threatens democracy 1 ed.). Crown Publishers, New York, NY."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1006\/ceps.2000.1052"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.21105\/joss.00638"},{"key":"e_1_3_2_1_40_1","volume-title":"Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07)","author":"Refaeilzadeh Payam","year":"2007","unstructured":"Payam Refaeilzadeh . 2007 . On comparison of feature selection algorithms . In Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07) Workshop Program. 6. Payam Refaeilzadeh. 2007. On comparison of feature selection algorithms. In Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07) Workshop Program. 6."},{"key":"e_1_3_2_1_41_1","volume-title":"13th International Conference on Educational Data Mining (EDM","author":"Sanyal Debopam","year":"2020","unstructured":"Debopam Sanyal , Nigel Bosch , and Luc Paquette . 2020 . Feature selection metrics: Similarities, differences, and characteristics of the selected models . In 13th International Conference on Educational Data Mining (EDM 2020). 212--223. Debopam Sanyal, Nigel Bosch, and Luc Paquette. 2020. Feature selection metrics: Similarities, differences, and characteristics of the selected models. In 13th International Conference on Educational Data Mining (EDM 2020). 212--223."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1080\/00949658608810925"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"e_1_3_2_1_44_1","volume-title":"A problem of dimensionality: A simple example","author":"Trunk G. V.","year":"1979","unstructured":"G. V. Trunk . 1979. A problem of dimensionality: A simple example . IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-1 , 3 ( July 1979 ), 306--307. https:\/\/doi.org\/10.1109\/TPAMI.1979.4766926 Conference Name : IEEE Transactions on Pattern Analysis and Machine Intelligence . G. V. Trunk. 1979. A problem of dimensionality: A simple example. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-1, 3 (July 1979), 306--307. https:\/\/doi.org\/10.1109\/TPAMI.1979.4766926 Conference Name: IEEE Transactions on Pattern Analysis and Machine Intelligence."},{"key":"e_1_3_2_1_45_1","volume-title":"International Conference on Machine Learning. PMLR, 6373--6382","author":"Ustun Berk","year":"2019","unstructured":"Berk Ustun , Yang Liu , and David Parkes . 2019 . Fairness without harm: Decoupled classifiers with preference guarantees . In International Conference on Machine Learning. PMLR, 6373--6382 . Berk Ustun, Yang Liu, and David Parkes. 2019. Fairness without harm: Decoupled classifiers with preference guarantees. In International Conference on Machine Learning. PMLR, 6373--6382."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052660"}],"event":{"name":"AIES '21: AAAI\/ACM Conference on AI, Ethics, and Society","location":"Virtual Event USA","acronym":"AIES '21","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","AAAI"]},"container-title":["Proceedings of the 2021 AAAI\/ACM Conference on AI, Ethics, and Society"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3461702.3462585","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3461702.3462585","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:05Z","timestamp":1750191425000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3461702.3462585"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,21]]},"references-count":46,"alternative-id":["10.1145\/3461702.3462585","10.1145\/3461702"],"URL":"https:\/\/doi.org\/10.1145\/3461702.3462585","relation":{},"subject":[],"published":{"date-parts":[[2021,7,21]]},"assertion":[{"value":"2021-07-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}