{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T06:53:28Z","timestamp":1782802408006,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,23]]},"DOI":"10.1145\/3715275.3732110","type":"proceedings-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T17:01:18Z","timestamp":1750698078000},"page":"1653-1663","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Discrimination Induced by Algorithmic Recourse Objectives"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-2693-9011","authenticated-orcid":false,"given":"Nicholas","family":"Perello","sequence":"first","affiliation":[{"name":"University of Massachusetts Amherst, Amherst, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1691-0282","authenticated-orcid":false,"given":"Cyrus","family":"Cousins","sequence":"additional","affiliation":[{"name":"Duke University, Durham, North Carolina, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0635-6230","authenticated-orcid":false,"given":"Yair","family":"Zick","sequence":"additional","affiliation":[{"name":"University of Massachusetts Amherst, Amherst, Massachusetts, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6043-6928","authenticated-orcid":false,"given":"Przemyslaw","family":"Grabowicz","sequence":"additional","affiliation":[{"name":"University College Dublin, Dublin, Ireland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,6,23]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533179"},{"key":"e_1_3_3_1_3_2","volume-title":"Fairness and Machine Learning: Limitations and Opportunities","author":"Barocas Solon","year":"2019","unstructured":"Solon Barocas, Moritz Hardt, and Arvind Narayanan. 2019. Fairness and Machine Learning: Limitations and Opportunities. fairmlbook.org. http:\/\/www.fairmlbook.org."},{"key":"e_1_3_3_1_4_2","unstructured":"Barry Becker and Ronny Kohavi. 1996. Adult. UCI Machine Learning Repository. DOI: https:\/\/doi.org\/10.24432\/C5XW20."},{"key":"e_1_3_3_1_5_2","unstructured":"Rachel K.\u00a0E. Bellamy Kuntal Dey Michael Hind Samuel\u00a0C. Hoffman Stephanie Houde Kalapriya Kannan Pranay Lohia Jacquelyn Martino Sameep Mehta Aleksandra Mojsilovic Seema Nagar Karthikeyan\u00a0Natesan Ramamurthy John Richards Diptikalyan Saha Prasanna Sattigeri Moninder Singh Kush\u00a0R. Varshney and Yunfeng Zhang. 2018. AI Fairness 360: An Extensible Toolkit for Detecting Understanding and Mitigating Unwanted Algorithmic Bias. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1810.01943 (2018). arxiv:https:\/\/arXiv.org\/abs\/1810.01943https:\/\/arxiv.org\/abs\/1810.01943"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.5555\/3540261.3541531"},{"key":"e_1_3_3_1_7_2","first-page":"6422","volume-title":"International Conference on Artificial Intelligence and Statistics","author":"Cousins Cyrus","year":"2023","unstructured":"Cyrus Cousins. 2023. Revisiting fair-PAC learning and the axioms of cardinal welfare. In International Conference on Artificial Intelligence and Statistics. PMLR, 6422\u20136442."},{"key":"e_1_3_3_1_8_2","first-page":"590","volume-title":"Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NeurIPS)","author":"Dhurandhar Amit","year":"2018","unstructured":"Amit Dhurandhar, Pin-Yu Chen, Ronny Luss, Chun-Chen Tu, Paishun Ting, Karthikeyan Shanmugam, and Payel Das. 2018. Explanations Based on the Missing: Towards Contrastive Explanations with Pertinent Negatives. In Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NeurIPS). 590\u2013601."},{"key":"e_1_3_3_1_9_2","unstructured":"Sorelle\u00a0A. Friedler Carlos Scheidegger and Suresh Venkatasubramanian. 2016. On the (im)possibility of fairness. arxiv:https:\/\/arXiv.org\/abs\/1609.07236\u00a0[cs.CY] https:\/\/arxiv.org\/abs\/1609.07236"},{"key":"e_1_3_3_1_10_2","unstructured":"Przemyslaw Grabowicz Nicholas Perello and Yair Zick. 2023. Towards an AI Accountability Policy. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2307.13658 (2023)."},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533236"},{"key":"e_1_3_3_1_12_2","unstructured":"Vivek Gupta Pegah Nokhiz Chitradeep\u00a0Dutta Roy and Suresh Venkatasubramanian. 2020. Equalizing Recourse across Groups. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1909.03166 (2020). arxiv:https:\/\/arXiv.org\/abs\/1909.03166https:\/\/arxiv.org\/abs\/1909.03166"},{"key":"e_1_3_3_1_13_2","unstructured":"Jenny Hamer Nicholas Perello Jason Valladares Vignesh Viswanathan and Yair Zick. 2024. Simple Steps to Success: A Method for Step-Based Counterfactual Explanations. Transactions on Machine Learning Research (2024). https:\/\/openreview.net\/forum?id=R6ey5DKaoX"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372857"},{"key":"e_1_3_3_1_15_2","first-page":"895","volume-title":"Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS)","author":"Karimi Amir-Hossein","year":"2020","unstructured":"Amir-Hossein Karimi, Gilles Barthe, Borja Balle, and Isabel Valera. 2020. Model-Agnostic Counterfactual Explanations for Consequential Decisions. In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS). 895\u2013905."},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Amir-Hossein Karimi Gilles Barthe Bernhard Sch\u00f6lkopf and Isabel Valera. 2022. A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations. ACM Computing Survey Article 95 (dec 2022) 29\u00a0pages.","DOI":"10.1145\/3527848"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3534630"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","unstructured":"Julius\u00a0von K\u00fcgelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller and Bernhard Sch\u00f6lkopf. 2022. On the Fairness of Causal Algorithmic Recourse. Proceedings of the AAAI Conference on Artificial Intelligence 36 9 (Jun. 2022) 9584\u20139594. https:\/\/doi.org\/10.1609\/aaai.v36i9.21192","DOI":"10.1609\/aaai.v36i9.21192"},{"key":"e_1_3_3_1_19_2","first-page":"650\u2013\u2013665","volume-title":"Proceedings of the 2019 European Conference on Machine Learning and Data Mining","author":"Looveren Arnaud\u00a0Van","year":"2019","unstructured":"Arnaud\u00a0Van Looveren and Janis Klaise. 2019. Interpretable Counterfactual Explanations Guided by Prototypes. In Proceedings of the 2019 European Conference on Machine Learning and Data Mining. 650\u2013\u2013665."},{"key":"e_1_3_3_1_20_2","first-page":"4768","volume-title":"Proceedings of the 30th Annual Conference on Neural Information Processing Systems (NeurIPS)","author":"Lundberg Scott\u00a0M.","year":"2017","unstructured":"Scott\u00a0M. Lundberg and Su-In Lee. 2017. A Unified Approach to Interpreting Model Predictions. In Proceedings of the 30th Annual Conference on Neural Information Processing Systems (NeurIPS). 4768\u20134777."},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3630106.3659003"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372850"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380087"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/3375627.3375850"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3375627.3375812"},{"key":"e_1_3_3_1_26_2","first-page":"62","volume-title":"Proceedings of the 34th Annual Conference on Neural Information Processing Systems (NeurIPS)","author":"Slack Dylan","year":"2021","unstructured":"Dylan Slack, Anna Hilgard, Himabindu Lakkaraju, and Sameer Singh. 2021. Counterfactual explanations can be manipulated. In Proceedings of the 34th Annual Conference on Neural Information Processing Systems (NeurIPS). 62\u201375."},{"key":"e_1_3_3_1_27_2","unstructured":"Title VII of the Civil Rights Act. 1964. 7 42 U.S.C. 2000e et seq."},{"key":"e_1_3_3_1_28_2","unstructured":"Giovanni\u00a0De Toni Paolo Viappiani Stefano Teso Bruno Lepri and Andrea Passerini. 2024. Personalized Algorithmic Recourse with Preference Elicitation. Transactions on Machine Learning Research (2024). https:\/\/openreview.net\/forum?id=8sg2I9zXgO"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"S Wachter B Mittelstadt and C Russell. 2017. Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR. Harvard Journal of Law & Technology 31 2 (2017) 842\u2013887.","DOI":"10.2139\/ssrn.3063289"},{"key":"e_1_3_3_1_30_2","unstructured":"I-Cheng Yeh. 2016. Default of Credit Card Clients. UCI Machine Learning Repository. DOI: https:\/\/doi.org\/10.24432\/C55S3H."},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","unstructured":"Jayanth Yetukuri Ian Hardy Yevgeniy Vorobeychik Berk Ustun and Yang Liu. 2024. Providing Fair Recourse over Plausible Groups. Proceedings of the AAAI Conference on Artificial Intelligence 38 19 (Mar. 2024) 21753\u201321760. https:\/\/doi.org\/10.1609\/aaai.v38i19.30175","DOI":"10.1609\/aaai.v38i19.30175"}],"event":{"name":"FAccT '25: The 2025 ACM Conference on Fairness, Accountability, and Transparency","location":"Athens Greece","acronym":"FAccT '25"},"container-title":["Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3715275.3732110","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T11:12:52Z","timestamp":1750763572000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3715275.3732110"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,23]]},"references-count":30,"alternative-id":["10.1145\/3715275.3732110","10.1145\/3715275"],"URL":"https:\/\/doi.org\/10.1145\/3715275.3732110","relation":{},"subject":[],"published":{"date-parts":[[2025,6,23]]},"assertion":[{"value":"2025-06-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}