{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T21:28:36Z","timestamp":1786656516894,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T00:00:00Z","timestamp":1783900800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,13]]},"DOI":"10.1145\/3795101.3814715","type":"proceedings-article","created":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T20:45:38Z","timestamp":1786653938000},"page":"1122-1130","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["BiasQD-DT: Creating Interpretable Trade-Offs in Classifier Bias with Quality-Diversity Optimization via Decision Trees"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2867-3405","authenticated-orcid":false,"given":"Catalina M","family":"Jaramillo","sequence":"first","affiliation":[{"name":"Tandon, New York University, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8709-2782","authenticated-orcid":false,"given":"M.","family":"Charity","sequence":"additional","affiliation":[{"name":"University of Richmond, Richmond, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3128-4598","authenticated-orcid":false,"given":"Julian","family":"Togelius","sequence":"additional","affiliation":[{"name":"Tandon, New York University, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,8,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1424"},{"key":"e_1_3_2_1_2_1","volume-title":"ProPublica","author":"Angwin Julia","year":"2016","unstructured":"Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016. Machine bias: There's software used across the country to predict future criminals. And it's biased against blacks. ProPublica, 23 May 2016. https:\/\/www.propublica.org\/article\/machine-bias-risk-assessments-in-criminal-sentencing"},{"key":"e_1_3_2_1_3_1","volume-title":"Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador Garc\u00eda, Sergio Gil-L\u00f3pez, Daniel Molina, Richard Benjamins, et al.","author":"Arrieta Alejandro Barredo","year":"2020","unstructured":"Alejandro Barredo Arrieta, Natalia D\u00edaz-Rodr\u00edguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador Garc\u00eda, Sergio Gil-L\u00f3pez, Daniel Molina, Richard Benjamins, et al. 2020. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information fusion 58 (2020), 82\u2013115."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2023.107197"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.24432\/C5XW20"},{"key":"e_1_3_2_1_6_1","volume-title":"Bias and Fairness in AI Algorithms: Legal Standards and Ethical Guidelines. Available at SSRN 5378211","author":"Kailas Bharati Dr Rahul","year":"2025","unstructured":"Dr Rahul Kailas Bharati. 2025. Bias and Fairness in AI Algorithms: Legal Standards and Ethical Guidelines. Available at SSRN 5378211 (2025)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291383"},{"key":"e_1_3_2_1_8_1","article-title":"Enhancing Fairness in Financial AI Models through Constraint-Based Bias Mitigation","volume":"21","author":"Choi Yiseul","year":"2025","unstructured":"Yiseul Choi, Jiwon Hong, Eunbeen Lee, Junga Kim, and Seongmin Kim. 2025. Enhancing Fairness in Financial AI Models through Constraint-Based Bias Mitigation. Journal of Information Processing Systems 21, 1 (2025).","journal-title":"Journal of Information Processing Systems"},{"key":"e_1_3_2_1_9_1","unstructured":"U.S. Equal Employment Opportunity Commission. [n. d.]. https:\/\/www.eeoc.gov\/newsroom\/eeoc-and-justice-department-warn-against-unlawful-dei-related-discrimination"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2704781"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3236260"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/jrfm18050228"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1561\/9781680836233"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3555776.3577591"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-023-09124-5"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-43722-0_38"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3390232"},{"key":"e_1_3_2_1_18_1","volume-title":"Generative adversarial nets. Advances in neural information processing systems 27","author":"Goodfellow Ian J","year":"2014","unstructured":"Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative adversarial nets. Advances in neural information processing systems 27 (2014)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.modpat.2024.100686"},{"key":"e_1_3_2_1_20_1","volume-title":"The CMA evolution strategy: A tutorial. arXiv preprint arXiv:1604.00772","author":"Hansen Nikolaus","year":"2016","unstructured":"Nikolaus Hansen. 2016. The CMA evolution strategy: A tutorial. arXiv preprint arXiv:1604.00772 (2016)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.24432\/C5NC77"},{"key":"e_1_3_2_1_22_1","volume-title":"An overview of artificial intelligence ethics","author":"Huang Changwu","year":"2022","unstructured":"Changwu Huang, Zeqi Zhang, Bifei Mao, and Xin Yao. 2022. An overview of artificial intelligence ethics. IEEE transactions on artificial intelligence 4, 4 (2022), 799\u2013819."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3672608.3707891"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Stuti Jalan and Lalatendu Kesari Jena. 2025. AI and Human Resources: Ethical Concerns and Potential Spots of Biases. (2025).","DOI":"10.1108\/978-1-83662-982-520251003"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-90062-4_15"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6634811"},{"key":"e_1_3_2_1_27_1","volume-title":"A survey on bias and fairness in machine learning. ACM computing surveys (CSUR) 54, 6","author":"Mehrabi Ninareh","year":"2021","unstructured":"Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. 2021. A survey on bias and fairness in machine learning. ACM computing surveys (CSUR) 54, 6 (2021), 1\u201335."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10088-y"},{"key":"e_1_3_2_1_29_1","unstructured":"Kommineni Mohanarajesh. 2024. Develop New Techniques for Ensuring Fairness in Artificial Intelligence and ML Models to Promote Ethical and Unbiased Decision-Making. (2024)."},{"key":"e_1_3_2_1_30_1","volume-title":"Illuminating search spaces by mapping elites. arXiv preprint arXiv:1504.04909","author":"Mouret Jean-Baptiste","year":"2015","unstructured":"Jean-Baptiste Mouret and Jeff Clune. 2015. Illuminating search spaces by mapping elites. arXiv preprint arXiv:1504.04909 (2015)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1177\/10731911241298081"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2016.00040"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2023.08.003"},{"key":"e_1_3_2_1_34_1","volume-title":"Induction of decision trees. Machine learning 1, 1","author":"Quinlan J. Ross","year":"1986","unstructured":"J. Ross Quinlan. 1986. Induction of decision trees. Machine learning 1, 1 (1986), 81\u2013106."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2025.2463722"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.3390\/bdcc9020040"},{"key":"e_1_3_2_1_37_1","volume-title":"Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nature machine intelligence 1, 5","author":"Rudin Cynthia","year":"2019","unstructured":"Cynthia Rudin. 2019. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nature machine intelligence 1, 5 (2019), 206\u2013215."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1214\/21-SS133"},{"key":"e_1_3_2_1_39_1","unstructured":"Stuart Jonathan Russell and Peter Norvig. 1995. Artificial intelligence: A modern approach;[the intelligent agent book]. Prentice hall."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0055930"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276958.1277288"},{"key":"e_1_3_2_1_42_1","volume-title":"International conference on artificial intelligence and statistics. PMLR","author":"Silva Andrew","year":"2020","unstructured":"Andrew Silva, Taylor Killian, Ivan Jimenez, Sung-Hyun Son, and Matthew Gombolay. 2020. Optimization methods for interpretable differentiable decision trees applied to reinforcement learning. In International conference on artificial intelligence and statistics. PMLR, 1855\u20131865."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3465416.3483305"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583131.3590374"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51701.2025.01966"}],"event":{"name":"GECCO '26 Companion: Genetic and Evolutionary Computation Conference Companion","location":"Centro Internacional de Convenciones CIC-ANDE San Jose Costa Rica","acronym":"GECCO '26 Companion","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3795101.3814715","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T20:50:14Z","timestamp":1786654214000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3795101.3814715"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,13]]},"references-count":45,"alternative-id":["10.1145\/3795101.3814715","10.1145\/3795101"],"URL":"https:\/\/doi.org\/10.1145\/3795101.3814715","relation":{},"subject":[],"published":{"date-parts":[[2026,7,13]]},"assertion":[{"value":"2026-08-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}