{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T07:00:57Z","timestamp":1771743657531,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":28,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819570805","type":"print"},{"value":"9789819570812","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-7081-2_2","type":"book-chapter","created":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T06:45:31Z","timestamp":1771742731000},"page":"19-34","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Balancing Fairness and\u00a0Performance Under Multiple Sensitive Attributes"],"prefix":"10.1007","author":[{"given":"Muxiang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifan","family":"Di","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,23]]},"reference":[{"key":"2_CR1","doi-asserted-by":"crossref","unstructured":"Birhane, A.: Algorithmic injustice: a relational ethics approach. Patterns 2(2) (2021)","DOI":"10.1016\/j.patter.2021.100205"},{"key":"2_CR2","unstructured":"Calmon, F.P., Wei, D., Ramamurthy, K.N., Varshney, K.R.: Optimized data pre-processing for discrimination prevention (2017)"},{"key":"2_CR3","doi-asserted-by":"publisher","unstructured":"Chakraborty, J., Majumder, S., Menzies, T.: Bias in machine learning software: Why? how? what to do? In: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 429\u2013440 (2021). https:\/\/doi.org\/10.1145\/3468264.3468537, http:\/\/arxiv.org\/abs\/2105.12195","DOI":"10.1145\/3468264.3468537"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"Chakraborty, J., Majumder, S., Yu, Z., Menzies, T.: Fairway: a way to build fair ml software. In: Proceedings of the 28th ACM joint meeting on European software engineering conference and symposium on the foundations of software engineering, pp. 654\u2013665 (2020)","DOI":"10.1145\/3368089.3409697"},{"issue":"1","key":"2_CR5","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"T Cover","year":"1967","unstructured":"Cover, T., Hart, P.: Nearest neighbor pattern classification. IEEE Trans. Inf. Theory 13(1), 21\u201327 (1967). https:\/\/doi.org\/10.1109\/TIT.1967.1053964","journal-title":"IEEE Trans. Inf. Theory"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Feldman, M., Friedler, S., Moeller, J., Scheidegger, C., Venkatasubramanian, S.: Certifying and removing disparate impact. ACM (2014)","DOI":"10.1145\/2783258.2783311"},{"issue":"1","key":"2_CR7","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1086\/699936","volume":"19","author":"J Furman","year":"2019","unstructured":"Furman, J., Seamans, R.: Ai and the economy. Innov. Policy Econ. 19(1), 161\u2013191 (2019)","journal-title":"Innov. Policy Econ."},{"key":"2_CR8","unstructured":"Gao, Y., et al.: Retrieval-augmented generation for large language models: a survey. arXiv preprint arXiv preprint arXiv:2312.10997, 2 1 (2023)"},{"key":"2_CR9","unstructured":"Gorishniy, Y., et al.: TABR: tabular deep learning meets nearest neighbors in 2023 (2023). http:\/\/arxiv.org\/abs\/2307.14338"},{"key":"2_CR10","unstructured":"Hardt, M., Price, E., Srebro, N.: Equality of opportunity in supervised learning. In: Proceedings of the 30th International Conference on Neural Information Processing Systems (NeurIPS 2016), pp. 3315\u20133323 (2016)"},{"issue":"4","key":"2_CR11","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1111\/ejed.12533","volume":"57","author":"W Holmes","year":"2022","unstructured":"Holmes, W., Tuomi, I.: State of the art and practice in ai in education. Eur. J. Educ. 57(4), 542\u2013570 (2022)","journal-title":"Eur. J. Educ."},{"key":"2_CR12","unstructured":"Julia\u00a0Angwin, Jeff\u00a0Larson, S.M., Kirchner, L.: Machine bias: there\u2019s software used across the country to predict future criminals. and it\u2019s biased against blacks. (2016). https:\/\/www.propublica.org\/article\/machine-bias-risk-assessments-in-criminal-sentencing"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Kamiran, F., Calders, T.: Classifying without discriminating. In: 2009 2nd international conference on computer, control and communication, pp.\u00a01\u20136. IEEE (2009)","DOI":"10.1109\/IC4.2009.4909197"},{"issue":"1","key":"2_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10115-011-0463-8","volume":"33","author":"F Kamiran","year":"2012","unstructured":"Kamiran, F., Calders, T.: Data preprocessing techniques for classification without discrimination. Knowl. Inf. Syst. 33(1), 1\u201333 (2012)","journal-title":"Knowl. Inf. Syst."},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"Kamiran, F., Karim, A., Zhang, X.: Decision theory for discrimination-aware classification. In: 2012 IEEE 12th international conference on data mining, pp. 924\u2013929. IEEE (2012)","DOI":"10.1109\/ICDM.2012.45"},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Kamishima, T., Akaho, S., Asoh, H., Sakuma, J.: Fairness-aware classifier with prejudice remover regularizer. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II 23, pp. 35\u201350. Springer (2012)","DOI":"10.1007\/978-3-642-33486-3_3"},{"key":"2_CR17","doi-asserted-by":"crossref","unstructured":"Lambrecht, A., Tucker, C.: Algorithmic bias? an empirical study of apparent gender-based discrimination in the display of stem career ads. Management Science (2019)","DOI":"10.1287\/mnsc.2018.3093"},{"key":"2_CR18","unstructured":"Li, Y., et al.: SRDK: towards efficient 3d point cloud segmentation via structure-and relation-aware knowledge distillation. arXiv preprint arXiv:2506.17290 (2025)"},{"key":"2_CR19","unstructured":"Li, Y., et al.: Frequency-aligned knowledge distillation for lightweight spatiotemporal forecasting. arXiv:2507.02939 (2025)"},{"key":"2_CR20","first-page":"121","volume":"119","author":"G Petropoulos","year":"2018","unstructured":"Petropoulos, G.: The impact of artificial intelligence on employment. Praise for Work in the Digital Age 119, 121 (2018)","journal-title":"Praise for Work in the Digital Age"},{"key":"2_CR21","first-page":"361","volume":"33","author":"Y Romano","year":"2020","unstructured":"Romano, Y., Bates, S., Candes, E.: Achieving equalized odds by resampling sensitive attributes. Adv. Neural. Inf. Process. Syst. 33, 361\u2013371 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"6088","key":"2_CR22","first-page":"533","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learn. representations by back-propagating errors. nature 323(6088), 533\u2013536 (1986)","journal-title":"Learn. representations by back-propagating errors. nature"},{"key":"2_CR23","doi-asserted-by":"crossref","unstructured":"Shaheen, M.Y.: Applications of artificial intelligence (ai) in healthcare: a review. ScienceOpen Preprints (2021)","DOI":"10.14293\/S2199-1006.1.SOR-.PPVRY8K.v1"},{"key":"2_CR24","doi-asserted-by":"crossref","unstructured":"Xu, J., et al.: Rallrec: Improving retrieval augmented large language model recommendation with representation learning. arXiv preprint arXiv:2502.06101 (2025)","DOI":"10.1145\/3701716.3715508"},{"key":"2_CR25","doi-asserted-by":"crossref","unstructured":"Yang, J., Zhang, L., Zhang, M.: Making fair classification via correlation alignment. In: ECAI 2024, pp. 842\u2013849. IOS Press (2024)","DOI":"10.3233\/FAIA240570"},{"key":"2_CR26","unstructured":"Yasunaga, M., et al.: Retrieval-augmented multimodal language modeling. arXiv preprint arXiv:2211.12561 (2022)"},{"key":"2_CR27","unstructured":"Zemel, R., Wu, Y., Swersky, K., Pitassi, T., Dwork, C.: Learning fair representations. JMLR.org (2013)"},{"key":"2_CR28","doi-asserted-by":"crossref","unstructured":"Zhang, B.H., Lemoine, B., Mitchell, M.: Mitigating unwanted biases with adversarial learning. In: Proceedings of the 2018 AAAI\/ACM Conference on AI, Ethics, and Society, pp. 335\u2013340 (2018)","DOI":"10.1145\/3278721.3278779"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2025: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-7081-2_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T06:45:38Z","timestamp":1771742738000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-7081-2_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819570805","9789819570812"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-7081-2_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"23 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wellington","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}