{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:14:06Z","timestamp":1783037646852,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T00:00:00Z","timestamp":1658793600000},"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":[[2022,7,26]]},"DOI":"10.1145\/3514094.3534143","type":"proceedings-article","created":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T22:25:13Z","timestamp":1658960713000},"page":"499-507","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Contrastive Counterfactual Fairness in Algorithmic Decision-Making"],"prefix":"10.1145","author":[{"given":"Ece \u00c7i\u011fdem","family":"Mutlu","sequence":"first","affiliation":[{"name":"University of Central Florida, Orlando, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Niloofar","family":"Yousefi","sequence":"additional","affiliation":[{"name":"University of Central Florida, Orlando, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ozlem","family":"Ozmen Garibay","sequence":"additional","affiliation":[{"name":"University of Central Florida, Orlando, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,7,27]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2020.103355"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/0049124118782533"},{"key":"e_1_3_2_2_3_1","volume-title":"Counterfactual thought. Annual review of psychology 67","author":"Byrne Ruth MJ","year":"2016","unstructured":"Ruth MJ Byrne . 2016. Counterfactual thought. Annual review of psychology 67 ( 2016 ), 135--157. Ruth MJ Byrne. 2016. Counterfactual thought. Annual review of psychology 67 (2016), 135--157."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/LOCS.2020.3007845"},{"key":"e_1_3_2_2_6_1","volume-title":"Fair prediction with disparate impact: A study of bias in recidivism prediction instruments. Big data 5, 2","author":"Chouldechova Alexandra","year":"2017","unstructured":"Alexandra Chouldechova . 2017. Fair prediction with disparate impact: A study of bias in recidivism prediction instruments. Big data 5, 2 ( 2017 ), 153--163. Alexandra Chouldechova. 2017. Fair prediction with disparate impact: A study of bias in recidivism prediction instruments. Big data 5, 2 (2017), 153--163."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098095"},{"key":"e_1_3_2_2_8_1","volume-title":"2017 AAAI Fall Symposium Series.","author":"De Graaf Maartje MA","year":"2017","unstructured":"Maartje MA De Graaf and Bertram F Malle . 2017 . How people explain action (and autonomous intelligent systems should too) . In 2017 AAAI Fall Symposium Series. Maartje MA De Graaf and Bertram F Malle. 2017. How people explain action (and autonomous intelligent systems should too). In 2017 AAAI Fall Symposium Series."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2090236.2090255"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.99.1.3"},{"key":"e_1_3_2_2_11_1","volume-title":"Automating inequality: How high-tech tools profile, police, and punish the poor","author":"Eubanks Virginia","unstructured":"Virginia Eubanks . 2018. Automating inequality: How high-tech tools profile, police, and punish the poor . St. Martin's Press . Virginia Eubanks. 2018. Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin's Press."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3106237.3106277"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3458455"},{"key":"e_1_3_2_2_14_1","unstructured":"Tobias Gerstenberg Noah D Goodman David A Lagnado and Joshua B Tenen- baum. 2015. How whether why: Causal judgments as counterfactual contrasts.. In CogSci.  Tobias Gerstenberg Noah D Goodman David A Lagnado and Joshua B Tenen- baum. 2015. How whether why: Causal judgments as counterfactual contrasts.. In CogSci."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1177\/1354066111428971"},{"key":"e_1_3_2_2_16_1","volume-title":"Equality of opportunity in supervised learning. Advances in neural information processing systems 29","author":"Hardt Moritz","year":"2016","unstructured":"Moritz Hardt , Eric Price , and Nati Srebro . 2016. Equality of opportunity in supervised learning. Advances in neural information processing systems 29 ( 2016 ), 3315--3323. Moritz Hardt, Eric Price, and Nati Srebro. 2016. Equality of opportunity in supervised learning. Advances in neural information processing systems 29 (2016), 3315--3323."},{"key":"e_1_3_2_2_17_1","unstructured":"Ph D Noel Hendrickson. 2011. Counterfactual reasoning: A basic guide for analysts strategists and decision makers. Lulu. com.  Ph D Noel Hendrickson. 2011. Counterfactual reasoning: A basic guide for analysts strategists and decision makers. Lulu. com."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.107.1.65"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186044"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445886"},{"key":"e_1_3_2_2_21_1","volume-title":"Avoiding discrimination through causal reasoning. arXiv preprint arXiv:1706.02744","author":"Kilbertus Niki","year":"2017","unstructured":"Niki Kilbertus , Mateo Rojas-Carulla , Giambattista Parascandolo , Moritz Hardt , Dominik Janzing , and Bernhard Sch\u00f6lkopf . 2017. Avoiding discrimination through causal reasoning. arXiv preprint arXiv:1706.02744 ( 2017 ). Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, and Bernhard Sch\u00f6lkopf. 2017. Avoiding discrimination through causal reasoning. arXiv preprint arXiv:1706.02744 (2017)."},{"key":"e_1_3_2_2_22_1","volume-title":"Inherent trade-offs in the fair determination of risk scores. arXiv preprint arXiv:1609.05807","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 preprint arXiv:1609.05807 ( 2016 ). Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan. 2016. Inherent trade-offs in the fair determination of risk scores. arXiv preprint arXiv:1609.05807 (2016)."},{"key":"e_1_3_2_2_23_1","first-page":"1","article-title":"Immigration detention in the risk classification assessment era","volume":"16","author":"Koulish Robert","year":"2017","unstructured":"Robert Koulish . 2017 . Immigration detention in the risk classification assessment era . Conn. Pub. Int. LJ 16 (2017), 1 . Robert Koulish. 2017. Immigration detention in the risk classification assessment era. Conn. Pub. Int. LJ 16 (2017), 1.","journal-title":"Conn. Pub. Int. LJ"},{"key":"e_1_3_2_2_24_1","volume-title":"Counter- factual fairness. arXiv preprint arXiv:1703.06856","author":"Kusner Matt J","year":"2017","unstructured":"Matt J Kusner , Joshua R Loftus , Chris Russell , and Ricardo Silva . 2017. Counter- factual fairness. arXiv preprint arXiv:1703.06856 ( 2017 ). Matt J Kusner, Joshua R Loftus, Chris Russell, and Ricardo Silva. 2017. Counter- factual fairness. arXiv preprint arXiv:1703.06856 (2017)."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1358246100005130"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Tania Lombrozo. 2012. Explanation and abductive inference. (2012).  Tania Lombrozo. 2012. Explanation and abductive inference. (2012).","DOI":"10.1093\/oxfordhb\/9780199734689.013.0014"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.64.6.897"},{"key":"e_1_3_2_2_28_1","volume-title":"A survey on bias and fairness in machine learning. arXiv preprint arXiv:1908.09635","author":"Mehrabi Ninareh","year":"2019","unstructured":"Ninareh Mehrabi , Fred Morstatter , Nripsuta Saxena , Kristina Lerman , and Aram Galstyan . 2019. A survey on bias and fairness in machine learning. arXiv preprint arXiv:1908.09635 ( 2019 ). Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. 2019. A survey on bias and fairness in machine learning. arXiv preprint arXiv:1908.09635 (2019)."},{"key":"e_1_3_2_2_29_1","volume-title":"Explanation in artificial intelligence: Insights from the social sciences. Artificial intelligence 267","author":"Miller Tim","year":"2019","unstructured":"Tim Miller . 2019. Explanation in artificial intelligence: Insights from the social sciences. Artificial intelligence 267 ( 2019 ), 1--38. Tim Miller. 2019. Explanation in artificial intelligence: Insights from the social sciences. Artificial intelligence 267 (2019), 1--38."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-042720-125902"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11553"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","unstructured":"Judea Pearl. 2009. Causality. Cambridge university press.  Judea Pearl. 2009. Causality. Cambridge university press.","DOI":"10.1017\/CBO9780511803161"},{"key":"e_1_3_2_2_33_1","volume-title":"Contrastive knowledge. Oxford studies in epistemology 1","author":"Schaffer Jonathan","year":"2005","unstructured":"Jonathan Schaffer . 2005. Contrastive knowledge. Oxford studies in epistemology 1 ( 2005 ), 235--271. Jonathan Schaffer. 2005. Contrastive knowledge. Oxford studies in epistemology 1 (2005), 235--271."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1951.tb00088.x"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3051315"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2460276.2460278"},{"key":"e_1_3_2_2_37_1","volume-title":"Fairness definitions explained. In 2018 ieee\/acm international workshop on software fairness (fairware)","author":"Verma Sahil","unstructured":"Sahil Verma and Julia Rubin . 2018. Fairness definitions explained. In 2018 ieee\/acm international workshop on software fairness (fairware) . IEEE , 1--7. Sahil Verma and Julia Rubin. 2018. Fairness definitions explained. In 2018 ieee\/acm international workshop on software fairness (fairware). IEEE, 1--7."},{"key":"e_1_3_2_2_38_1","volume-title":"Modeling Techniques for Machine Learning Fairness: A Survey. arXiv preprint arXiv:2111.03015","author":"Wan Mingyang","year":"2021","unstructured":"Mingyang Wan , Daochen Zha , Ninghao Liu , and Na Zou . 2021. Modeling Techniques for Machine Learning Fairness: A Survey. arXiv preprint arXiv:2111.03015 ( 2021 ). Mingyang Wan, Daochen Zha, Ninghao Liu, and Na Zou. 2021. Modeling Techniques for Machine Learning Fairness: A Survey. arXiv preprint arXiv:2111.03015 (2021)."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052660"},{"key":"e_1_3_2_2_40_1","volume-title":"European Conference on Multi-Agent Systems. Springer, 249--266","author":"Zennaro Fabio Massimo","year":"2018","unstructured":"Fabio Massimo Zennaro and Magdalena Ivanovska . 2018 . Counterfactually fair prediction using multiple causal models . In European Conference on Multi-Agent Systems. Springer, 249--266 . Fabio Massimo Zennaro and Magdalena Ivanovska. 2018. Counterfactually fair prediction using multiple causal models. In European Conference on Multi-Agent Systems. Springer, 249--266."},{"key":"e_1_3_2_2_41_1","unstructured":"Fabio Massimo Zennaro and Magdalena Ivanovska. 2018. Pooling of causal models under counterfactual fairness via causal judgement aggregation. arXiv preprint arXiv:1805.09866 (2018  Fabio Massimo Zennaro and Magdalena Ivanovska. 2018. Pooling of causal models under counterfactual fairness via causal judgement aggregation. arXiv preprint arXiv:1805.09866 (2018"}],"event":{"name":"AIES '22: AAAI\/ACM Conference on AI, Ethics, and Society","location":"Oxford United Kingdom","acronym":"AIES '22","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","AAAI"]},"container-title":["Proceedings of the 2022 AAAI\/ACM Conference on AI, Ethics, and Society"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3514094.3534143","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3514094.3534143","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:36Z","timestamp":1750186956000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3514094.3534143"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,26]]},"references-count":41,"alternative-id":["10.1145\/3514094.3534143","10.1145\/3514094"],"URL":"https:\/\/doi.org\/10.1145\/3514094.3534143","relation":{},"subject":[],"published":{"date-parts":[[2022,7,26]]},"assertion":[{"value":"2022-07-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}