{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T23:03:59Z","timestamp":1756076639464,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030183042"},{"type":"electronic","value":"9783030183059"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-18305-9_19","type":"book-chapter","created":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T14:15:30Z","timestamp":1558361730000},"page":"238-250","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["The Invisible Power of Fairness. How Machine Learning Shapes Democracy"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6090-2765","authenticated-orcid":false,"given":"Elena","family":"Beretta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8885-6214","authenticated-orcid":false,"given":"Antonio","family":"Santangelo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1275-2333","authenticated-orcid":false,"given":"Bruno","family":"Lepri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2027-3308","authenticated-orcid":false,"given":"Antonio","family":"Vetr\u00f2","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7867-1926","authenticated-orcid":false,"given":"Juan Carlos","family":"De Martin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,24]]},"reference":[{"key":"19_CR1","unstructured":"Barocas, S., Hardt, M., Narayanan, A.: Fairness and Machine Learning. fairmlbook.org (2018). http:\/\/www.fairmlbook.org"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Berk, R., Heidari, H., Jabbari, S., Kearns, M., Roth, A.: Fairness in criminal justice risk assessments: the state of the art. Sociol. Methods Res. (2018)","DOI":"10.1177\/0049124118782533"},{"key":"19_CR3","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/0304-4068(92)90001-N","volume":"21","author":"M Berliant","year":"1992","unstructured":"Berliant, M., Thomson, W.: On the fair division of a heterogeneous commodity. J. Math. Econ. 21, 201\u2013216 (1992)","journal-title":"J. Math. Econ."},{"key":"19_CR4","unstructured":"Binns, R.: Fairness in machine learning: lessons from political philosophy. In: Friedler, S.A., Wilsonf, C. (eds.) Proceedings of Machine Learning Research, vol. 81, pp. 149\u2013159 (2018)"},{"key":"19_CR5","volume-title":"Eguaglianza e libert\u00e1","author":"N Bobbio","year":"1995","unstructured":"Bobbio, N.: Eguaglianza e libert\u00e1. Einaudi, Torino, Italy (1995)"},{"key":"19_CR6","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/s10676-015-9380-y","volume":"17","author":"E Bozdag","year":"2015","unstructured":"Bozdag, E., van den Hoven, J.: Breaking the filter bubble: democracy and design. Ethics Inf. Technol. 17, 249\u2013265 (2015)","journal-title":"Ethics Inf. Technol."},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Chouldechova, A.: Fair prediction with disparate impact: a study of bias in recidivism prediction instruments. Big Data (2017)","DOI":"10.1089\/big.2016.0047"},{"key":"19_CR8","unstructured":"Christiano, T.: Democracy. Stanford Encyclopedia of Philosophy (2006)"},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Corbett-Davies, S., Pierson, E., Feller, A., Goel, S., Huq, A.: Algorithmic decision making and the cost of fairness. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017 (2017)","DOI":"10.1145\/3097983.3098095"},{"key":"19_CR10","unstructured":"Dieterich, W., Mendoza, C., Brennan, T.: Compas risk scales: demonstrating accuracy equity and predictive parity. Technical report, Northpointe Inc. (2016)"},{"key":"19_CR11","volume-title":"Western Political Theory in the Face of the Future","author":"J Dunn","year":"1979","unstructured":"Dunn, J.: Western Political Theory in the Face of the Future, vol. 3. Cambridge University Press, Cambridge (1979)"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Dwork, C., Hardt, M., Pitassi, T., Reingold, O., Zemeln, R.: Fairness through awareness. In: Proceedings of the 3rd Innovations in Theoretical Computer Science Conference, pp. 214\u2013226. ACM (2012)","DOI":"10.1145\/2090236.2090255"},{"key":"19_CR13","unstructured":"Gajane, P., Pechenizkiy, M.: On formalizing fairness in prediction with machine learning arXiv:1710.03184 (2018)"},{"key":"19_CR14","volume-title":"Between Facts and Norms: Contributions to a Discourse Theory of Law and Democracy","author":"J Habermas","year":"1998","unstructured":"Habermas, J.: Between Facts and Norms: Contributions to a Discourse Theory of Law and Democracy. MIT Press, Cambridge (1998)"},{"key":"19_CR15","unstructured":"Hardt, M., Price, E., Srebro, N.: Equality of opportunity in supervised learning. In: Advances in Neural Information Processing Systems (2016)"},{"key":"19_CR16","volume-title":"Models of Democracy","author":"D Held","year":"2006","unstructured":"Held, D.: Models of Democracy. Stanford University Press, Palo Alto (2006)"},{"key":"19_CR17","volume-title":"The Democratic Paradox","author":"D Held","year":"2009","unstructured":"Held, D.: The Democratic Paradox. Verso, London (2009)"},{"key":"19_CR18","doi-asserted-by":"crossref","unstructured":"Kleinberg, J., Mullainathan, S., Raghavan, M.: Inherent trade-offs in the fair determination of risk scores. In: Proceedings of Innovations in Theoretical Computer Science, ITCS 2017 (2017)","DOI":"10.1145\/3219617.3219634"},{"key":"19_CR19","unstructured":"Kusner, M.J., Loftus, J.R., Russell, C., Silva, R.: Counterfactual fairness. In: Proceedings of 31st Neural Information Processing Systems, NIPS 2017 (2017)"},{"key":"19_CR20","volume-title":"Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy","author":"C O\u2019Neil","year":"2016","unstructured":"O\u2019Neil, C.: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishing Group, New York (2016)"},{"key":"19_CR21","doi-asserted-by":"publisher","DOI":"10.4159\/harvard.9780674736061","volume-title":"The Black Box Society: The Secret Algorithms That Control Money and Information","author":"F Pasquale","year":"2015","unstructured":"Pasquale, F.: The Black Box Society: The Secret Algorithms That Control Money and Information. Harvard University Press, Cambridge (2015)"},{"key":"19_CR22","doi-asserted-by":"crossref","DOI":"10.4159\/9780674042605","volume-title":"A Theory of Justice","author":"J Rawls","year":"1971","unstructured":"Rawls, J.: A Theory of Justice. Harvard University Press, Harvard (1971)"},{"key":"19_CR23","volume-title":"The Idea of Public Reason","author":"J Rawls","year":"1997","unstructured":"Rawls, J.: The Idea of Public Reason. The MIT Press, Cambridge (1997)"},{"key":"19_CR24","doi-asserted-by":"publisher","first-page":"1193","DOI":"10.1214\/17-AOAS1058","volume":"11","author":"C Simoiu","year":"2017","unstructured":"Simoiu, C., Corbett-Davies, S., Goel, S.: The problem of infra-marginality in outcome tests for discrimination. Ann. Appl. Stat. 11, 1193\u20131216 (2017)","journal-title":"Ann. Appl. Stat."},{"key":"19_CR25","doi-asserted-by":"crossref","unstructured":"Sweeney, L.: Discrimination in online ad delivery. Queue Storage 11(3), pages 10 (2013)","DOI":"10.1145\/2460276.2460278"},{"key":"19_CR26","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/0022-0531(74)90075-1","volume":"9","author":"H Varian","year":"1974","unstructured":"Varian, H.: Equity, envy, and efficiency. J. Econ. Theory 9, 63\u201391 (1974)","journal-title":"J. Econ. Theory"},{"key":"19_CR27","doi-asserted-by":"crossref","unstructured":"Zafar, M.B., Valera, I., Rodriguez, M.G., Gummadi, K.P.: Fairness beyond disparate treatment and disparate impact: learning classification without disparate mistreatment. In: Proceedings of the 26th International Conference on World Wide Web, WWW 2017 (2017)","DOI":"10.1145\/3038912.3052660"},{"key":"19_CR28","unstructured":"Zafar, M.B., Valera, I., Rodriguez, M.G., Gummadi, K.P., Weller, A.: From parity to preference-based notions of fairness in classification. In: Proceedings of the 31st Conference on Neural Information Processing Systems, NIPS 2017 (2017)"}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-18305-9_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:54:40Z","timestamp":1710269680000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-18305-9_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030183042","9783030183059"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-18305-9_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"24 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Canadian AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canadian Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kingston, ON","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 May 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 May 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"canadianai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.caiac.ca\/en\/conferences\/canadianai-2019\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}