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Economics & Philosophy Forthcoming.","key":"e_1_3_2_1_108_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_109_1","DOI":"10.1145\/3366423.3380228"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_110_1","DOI":"10.1145\/3178876.3186044"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_111_1","DOI":"10.1145\/3351095.3372857"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_112_1","DOI":"10.1145\/3287560.3287597"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_113_1","DOI":"10.1145\/3351095.3372848"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_114_1","DOI":"10.1145\/3287560.3287579"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_115_1","DOI":"10.1145\/3308558.3313679"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_116_1","DOI":"10.1056\/NEJMp1411376"},{"key":"e_1_3_2_1_117_1","volume-title":"Why the moral machine is a monster","author":"Jaques Abby Everett","year":"2019","unstructured":"Abby Everett Jaques . Why the moral machine is a monster . 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Residual unfairness in fair machine learning from prejudiced data . In International Conference on Machine Learning , pages 2439 -- 2448 , 2018 . Nathan Kallus and Angela Zhou. Residual unfairness in fair machine learning from prejudiced data. In International Conference on Machine Learning, pages 2439--2448, 2018."},{"key":"e_1_3_2_1_125_1","volume-title":"Fair matching under constraints: Theory and applications. Technical report","author":"Kamada Yuichiro","year":"2019","unstructured":"Yuichiro Kamada and Fuhito Kojima . Fair matching under constraints: Theory and applications. Technical report , 2019 . Yuichiro Kamada and Fuhito Kojima. Fair matching under constraints: Theory and applications. 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Meritocratic fairness for cross-population selection. In International Conference on Machine Learning, pages 1828--1836, 2017."},{"key":"e_1_3_2_1_130_1","first-page":"656","volume-title":"Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, and Bernhard Sch\u00f6lkopf. Avoiding discrimination through causal reasoning. In Advances in neural information processing systems","author":"Kilbertus Niki","year":"2017","unstructured":"Niki Kilbertus , Mateo Rojas Carulla , Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, and Bernhard Sch\u00f6lkopf. Avoiding discrimination through causal reasoning. In Advances in neural information processing systems , pages 656 -- 666 , 2017 . Niki Kilbertus, Mateo Rojas Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, and Bernhard Sch\u00f6lkopf. Avoiding discrimination through causal reasoning. In Advances in neural information processing systems, pages 656--666, 2017."},{"key":"e_1_3_2_1_131_1","first-page":"277","volume-title":"International Conference on Artificial Intelligence and Statistics","author":"Kilbertus Niki","year":"2020","unstructured":"Niki Kilbertus , Manuel Gomez Rodriguez , Bernhard Sch\u00f6lkopf , Krikamol Muandet , and Isabel Valera . Fair decisions despite imperfect predictions . In International Conference on Artificial Intelligence and Statistics , pages 277 -- 287 , 2020 . Niki Kilbertus, Manuel Gomez Rodriguez, Bernhard Sch\u00f6lkopf, Krikamol Muandet, and Isabel Valera. Fair decisions despite imperfect predictions. In International Conference on Artificial Intelligence and Statistics, pages 277--287, 2020."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_132_1","DOI":"10.1145\/3351095.3373155"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_133_1","DOI":"10.1145\/3328526.3329584"},{"key":"e_1_3_2_1_134_1","volume-title":"8th Innovations in Theoretical Computer Science Conference (ITCS 2017","author":"Kleinberg Jon","year":"2017","unstructured":"Jon Kleinberg , Sendhil Mullainathan , and Manish Raghavan . Inherent tradeoffs in the fair determination of risk scores . In 8th Innovations in Theoretical Computer Science Conference (ITCS 2017 ). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik , 2017 . Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan. Inherent tradeoffs in the fair determination of risk scores. In 8th Innovations in Theoretical Computer Science Conference (ITCS 2017). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2017."},{"key":"e_1_3_2_1_135_1","first-page":"3448","volume-title":"International Conference on Machine Learning","author":"Kleindessner Matth\u00e4us","year":"2019","unstructured":"Matth\u00e4us Kleindessner , Pranjal Awasthi , and Jamie Morgenstern . Fair k-center clustering for data summarization . In International Conference on Machine Learning , pages 3448 -- 3457 , 2019 . Matth\u00e4us Kleindessner, Pranjal Awasthi, and Jamie Morgenstern. Fair k-center clustering for data summarization. In International Conference on Machine Learning, pages 3448--3457, 2019."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_136_1","DOI":"10.1086\/318603"},{"key":"e_1_3_2_1_137_1","first-page":"1725","article-title":"Risk assessment and the future of bail reform","volume":"93","author":"Koepke John Logan","year":"2018","unstructured":"John Logan Koepke and David G Robinson . Danger ahead : Risk assessment and the future of bail reform . Wash. L. Rev. , 93 : 1725 , 2018 . John Logan Koepke and David G Robinson. Danger ahead: Risk assessment and the future of bail reform. Wash. L. Rev., 93:1725, 2018.","journal-title":"Wash. L. Rev."},{"key":"e_1_3_2_1_138_1","first-page":"4066","volume-title":"Advances in Neural Information Processing Systems","author":"Kusner Matt J","year":"2017","unstructured":"Matt J Kusner , Joshua Loftus , Chris Russell , and Ricardo Silva . Counterfactual fairness . In Advances in Neural Information Processing Systems , pages 4066 -- 4076 , 2017 . Matt J Kusner, Joshua Loftus, Chris Russell, and Ricardo Silva. Counterfactual fairness. In Advances in Neural Information Processing Systems, pages 4066--4076, 2017."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_139_1","DOI":"10.1145\/988772.988800"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_140_1","DOI":"10.1109\/ICDE.2019.00121"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_141_1","DOI":"10.1287\/mnsc.2018.3093"},{"key":"e_1_3_2_1_142_1","volume-title":"Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management","author":"Lee Min Kyung","year":"2018","unstructured":"Min Kyung Lee . Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management . Big Data & Society , 5(1), 2018 . Min Kyung Lee. Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management. Big Data & Society, 5(1), 2018."},{"issue":"1","key":"e_1_3_2_1_143_1","article-title":"The dynamics of collective reputation","volume":"9","author":"Levin Jonathan","year":"2009","unstructured":"Jonathan Levin . The dynamics of collective reputation . The BE Journal of Theoretical Economics , 9 ( 1 ), 2009 . Jonathan Levin. The dynamics of collective reputation. The BE Journal of Theoretical Economics, 9(1), 2009.","journal-title":"The BE Journal of Theoretical Economics"},{"key":"e_1_3_2_1_144_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning","author":"Liu Lydia T","year":"2018","unstructured":"Lydia T Liu , Sarah Dean , Esther Rolf , Max Simchowitz , and Moritz Hardt . Delayed impact of fair machine learning . In Proceedings of the 35th International Conference on Machine Learning , 2018 . Lydia T Liu, Sarah Dean, Esther Rolf, Max Simchowitz, and Moritz Hardt. Delayed impact of fair machine learning. In Proceedings of the 35th International Conference on Machine Learning, 2018."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_145_1","DOI":"10.1145\/3351095.3372861"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_146_1","DOI":"10.1145\/3313831.3376445"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_147_1","DOI":"10.1080\/00220480209596462"},{"key":"e_1_3_2_1_148_1","volume-title":"Behind the color-blind diversity algorithm for college admissions","author":"Mallett Whitney","year":"2014","unstructured":"Whitney Mallett . Behind the color-blind diversity algorithm for college admissions . 2014 . URL https:\/\/www.vice.com\/en\/article\/nzee5d\/behind-the-color-blind-college-admissions-diversity-algorithm. Whitney Mallett. Behind the color-blind diversity algorithm for college admissions. 2014. URL https:\/\/www.vice.com\/en\/article\/nzee5d\/behind-the-color-blind-college-admissions-diversity-algorithm."},{"key":"e_1_3_2_1_149_1","volume-title":"Birds of a feather: Homophily in social networks. Annual review of sociology, 27(1):415--444","author":"McPherson Miller","year":"2001","unstructured":"Miller McPherson , Lynn Smith-Lovin , and James M Cook . Birds of a feather: Homophily in social networks. Annual review of sociology, 27(1):415--444 , 2001 . Miller McPherson, Lynn Smith-Lovin, and James M Cook. Birds of a feather: Homophily in social networks. Annual review of sociology, 27(1):415--444, 2001."},{"key":"e_1_3_2_1_150_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 . 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. A survey on bias and fairness in machine learning. arXiv preprint arXiv:1908.09635, 2019."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_151_1","DOI":"10.5555\/3524938.3525580"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_152_1","DOI":"10.1145\/3287560.3287576"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_153_1","DOI":"10.1145\/3287560.3287562"},{"key":"e_1_3_2_1_154_1","volume-title":"Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML-20)","author":"Mladenov Martin","year":"2020","unstructured":"Martin Mladenov , Elliot Creager , Omer Ben-Porat , Kevin Swersky , Richard Zemel , and Craig Boutilier . Optimizing Long-term Social Welfare in Recommender Systems:A Constrained Matching Approach . In Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML-20) , Vienna, Austria , 2020 . to appear. Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard Zemel, and Craig Boutilier. Optimizing Long-term Social Welfare in Recommender Systems:A Constrained Matching Approach. In Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML-20), Vienna, Austria, 2020. to appear."},{"key":"e_1_3_2_1_155_1","first-page":"2142","volume-title":"Advances in Neural Information Processing Systems","author":"Monachou Faidra","year":"2019","unstructured":"Faidra Monachou and Itai Ashlagi . Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design . In Advances in Neural Information Processing Systems , pages 2142 -- 2152 , 2019 . Faidra Monachou and Itai Ashlagi. Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design. In Advances in Neural Information Processing Systems, pages 2142--2152, 2019."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_156_1","DOI":"10.1145\/3351095.3375783"},{"key":"e_1_3_2_1_157_1","volume-title":"Thirty-Second AAAI Conference on Artificial Intelligence","author":"Noothigattu Ritesh","year":"2018","unstructured":"Ritesh Noothigattu , Snehalkumar S Gaikwad , Edmond Awad , Sohan Dsouza , Iyad Rahwan , Pradeep Ravikumar , and Ariel D Procaccia . A voting-based system for ethical decision making . In Thirty-Second AAAI Conference on Artificial Intelligence , 2018 . Ritesh Noothigattu, Snehalkumar S Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, and Ariel D Procaccia. A voting-based system for ethical decision making. In Thirty-Second AAAI Conference on Artificial Intelligence, 2018."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_158_1","DOI":"10.1126\/science.aax2342"},{"key":"e_1_3_2_1_159_1","volume-title":"All things equal? social networks as a mechanism for discrimination. arXiv preprint arXiv:2006.15988","author":"Okafor Chika O","year":"2020","unstructured":"Chika O Okafor . All things equal? social networks as a mechanism for discrimination. arXiv preprint arXiv:2006.15988 , 2020 . Chika O Okafor. All things equal? social networks as a mechanism for discrimination. arXiv preprint arXiv:2006.15988, 2020."},{"key":"e_1_3_2_1_160_1","volume-title":"Weapons of math destruction: How big data increases inequality and threatens democracy","author":"O'Neil Cathy","year":"2016","unstructured":"Cathy O'Neil . Weapons of math destruction: How big data increases inequality and threatens democracy . Broadway Books , 2016 . Cathy O'Neil. Weapons of math destruction: How big data increases inequality and threatens democracy. Broadway Books, 2016."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_161_1","DOI":"10.1145\/1993574.1993585"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_162_1","DOI":"10.1007\/s10472-005-4692-y"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_163_1","DOI":"10.1017\/9781108227162.006"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_164_1","DOI":"10.1177\/0273475310377781"},{"issue":"4","key":"e_1_3_2_1_165_1","first-page":"659","article-title":"The statistical theory of racism and sexism","volume":"62","author":"Phelps Edmund S","year":"1972","unstructured":"Edmund S Phelps . The statistical theory of racism and sexism . The American Economic Review , 62 ( 4 ): 659 -- 661 , 1972 . Edmund S Phelps. The statistical theory of racism and sexism. 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The externalities of exploration and how data diversity helps exploitation. arXiv preprint arXiv:1806.00543 , 2018 . Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, and Zhiwei Steven Wu. The externalities of exploration and how data diversity helps exploitation. arXiv preprint arXiv:1806.00543, 2018."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_171_1","DOI":"10.1145\/3351095.3372828"},{"key":"e_1_3_2_1_172_1","volume-title":"Bias in, bias out? Evaluating the folk wisdom. arXiv preprint arXiv:1909.08518","author":"Rambachan Ashesh","year":"2019","unstructured":"Ashesh Rambachan and Jonathan Roth . Bias in, bias out? Evaluating the folk wisdom. arXiv preprint arXiv:1909.08518 , 2019 . Ashesh Rambachan and Jonathan Roth. Bias in, bias out? Evaluating the folk wisdom. arXiv preprint arXiv:1909.08518, 2019."},{"key":"e_1_3_2_1_173_1","volume-title":"A theory of justice","author":"Rawls John","year":"2009","unstructured":"John Rawls . A theory of justice . Harvard university press , 2009 . John Rawls. A theory of justice. Harvard university press, 2009."},{"key":"e_1_3_2_1_174_1","volume-title":"What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design. arXiv preprint arXiv:2007.06718","author":"Robertson Samantha","year":"2020","unstructured":"Samantha Robertson and Niloufar Salehi . What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design. arXiv preprint arXiv:2007.06718 , 2020 . Samantha Robertson and Niloufar Salehi. What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design. arXiv preprint arXiv:2007.06718, 2020."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_175_1","DOI":"10.1002\/poi3.153"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_176_1","DOI":"10.1007\/s00182-008-0117-6"},{"key":"e_1_3_2_1_177_1","volume-title":"International Conference on Machine Learning","author":"Saha Debjani","year":"2020","unstructured":"Debjani Saha , Candice Schumann , Duncan C McElfresh , John P Dickerson , Michelle L Mazurek , and Michael Carl Tschantz . Measuring non-expert comprehension of machine learning fairness metrics . In International Conference on Machine Learning , 2020 . Debjani Saha, Candice Schumann, Duncan C McElfresh, John P Dickerson, Michelle L Mazurek, and Michael Carl Tschantz. Measuring non-expert comprehension of machine learning fairness metrics. In International Conference on Machine Learning, 2020."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_178_1","DOI":"10.1037\/apl0000405"},{"key":"e_1_3_2_1_179_1","first-page":"07579","article-title":"Don't See Color","author":"Sapiezynski Piotr","year":"1912","unstructured":"Piotr Sapiezynski , Avijit Gosh , Levi Kaplan , Alan Mislove , and Aaron Rieke . Algorithms that \" Don't See Color \": Comparing Biases in Lookalike and Special Ad Audiences. arXiv preprint arXiv : 1912 . 07579 , 2019. Piotr Sapiezynski, Avijit Gosh, Levi Kaplan, Alan Mislove, and Aaron Rieke. Algorithms that \"Don't See Color\": Comparing Biases in Lookalike and Special Ad Audiences. arXiv preprint arXiv:1912.07579, 2019.","journal-title":"Comparing Biases in Lookalike and Special Ad Audiences. arXiv preprint arXiv"},{"key":"e_1_3_2_1_180_1","volume-title":"FinTech and Consumer Protection: A Snapshot","author":"Saunders Lauren","year":"2019","unstructured":"Lauren Saunders . FinTech and Consumer Protection: A Snapshot . 2019 . Lauren Saunders. FinTech and Consumer Protection: A Snapshot. 2019."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_181_1","DOI":"10.1145\/3306618.3314248"},{"key":"e_1_3_2_1_182_1","volume-title":"Group fairness in bandit arm selection. arXiv preprint arXiv:1912.03802","author":"Schumann Candice","year":"2019","unstructured":"Candice Schumann , Zhi Lang , Nicholas Mattei , and John P Dickerson . Group fairness in bandit arm selection. arXiv preprint arXiv:1912.03802 , 2019 . Candice Schumann, Zhi Lang, Nicholas Mattei, and John P Dickerson. Group fairness in bandit arm selection. arXiv preprint arXiv:1912.03802, 2019."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_183_1","DOI":"10.1145\/3287560.3287598"},{"key":"e_1_3_2_1_184_1","first-page":"157","volume-title":"Jun Gao. PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems. 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IEEE, 2020."},{"key":"e_1_3_2_1_185_1","first-page":"1","volume-title":"Proceedings of the 2018 ACM Conference on Fairness, Accountability, and Transparency","volume":"81","author":"Speicher Till","year":"2018","unstructured":"Till Speicher , Muhammad Ali , Giridhari Venkatadri , Filipe Ribeiro , George Arvanitakis , Fabr\u00edcio Benevenuto , Krishna Gummadi , Patrick Loiseau , and Alan Mislove . Potential for discrimination in online targeted advertising . In Proceedings of the 2018 ACM Conference on Fairness, Accountability, and Transparency , volume 81 , pages 1 -- 15 , 2018 . Till Speicher, Muhammad Ali, Giridhari Venkatadri, Filipe Ribeiro, George Arvanitakis, Fabr\u00edcio Benevenuto, Krishna Gummadi, Patrick Loiseau, and Alan Mislove. Potential for discrimination in online targeted advertising. In Proceedings of the 2018 ACM Conference on Fairness, Accountability, and Transparency, volume 81, pages 1--15, 2018."},{"key":"e_1_3_2_1_186_1","first-page":"925","article-title":"Contemporary Housing Discrimination: Facebook, Targeted Advertising, and the Fair Housing Act","volume":"57","author":"Spinks Chandler Nicholle","year":"2019","unstructured":"Chandler Nicholle Spinks . Contemporary Housing Discrimination: Facebook, Targeted Advertising, and the Fair Housing Act . Hous. L. Rev. , 57 : 925 , 2019 . Chandler Nicholle Spinks. Contemporary Housing Discrimination: Facebook, Targeted Advertising, and the Fair Housing Act. Hous. L. Rev., 57:925, 2019.","journal-title":"Hous. L. Rev."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_187_1","DOI":"10.1145\/3292500.3330664"},{"key":"e_1_3_2_1_188_1","first-page":"101","article-title":"The problem of fair division","volume":"16","author":"Steihaus Hugo","year":"1948","unstructured":"Hugo Steihaus . The problem of fair division . Econometrica , 16 : 101 -- 104 , 1948 . Hugo Steihaus. The problem of fair division. Econometrica, 16:101--104, 1948.","journal-title":"Econometrica"},{"key":"e_1_3_2_1_189_1","first-page":"303","article-title":"Assessing risk assessment in action","volume":"103","author":"Stevenson Megan","year":"2018","unstructured":"Megan Stevenson . Assessing risk assessment in action . Minn. L. Rev. , 103 : 303 , 2018 . Megan Stevenson. Assessing risk assessment in action. Minn. L. Rev., 103:303, 2018.","journal-title":"Minn. L. Rev."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_190_1","DOI":"10.1145\/3178876.3186140"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_191_1","DOI":"10.1145\/3366423.3380275"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_192_1","DOI":"10.1145\/2460276.2460278"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_193_1","DOI":"10.24963\/ijcai.2017\/739"},{"key":"e_1_3_2_1_194_1","volume-title":"AI Now 2019 report. 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URL https:\/\/www.propublica.org\/article\/hud-sues-facebook-housing-discrimination-advertising-algorithms."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_196_1","DOI":"10.5555\/3495724.3497129"},{"key":"e_1_3_2_1_197_1","volume-title":"Optimal decision making under strategic behavior. arXiv preprint arXiv:1905.09239","author":"Tsirtsis Stratis","year":"2020","unstructured":"Stratis Tsirtsis , Behzad Tabibian , Moein Khajehnejad , Adish Singla , Bernhard Sch\u00f6lkopf , and Manuel Gomez-Rodriguez . Optimal decision making under strategic behavior. arXiv preprint arXiv:1905.09239 , 2020 . Stratis Tsirtsis, Behzad Tabibian, Moein Khajehnejad, Adish Singla, Bernhard Sch\u00f6lkopf, and Manuel Gomez-Rodriguez. Optimal decision making under strategic behavior. arXiv preprint arXiv:1905.09239, 2020."},{"key":"e_1_3_2_1_198_1","first-page":"1769","volume-title":"Advances in Neural Information Processing Systems","author":"Valera Isabel","year":"2018","unstructured":"Isabel Valera , Adish Singla , and Manuel Gomez Rodriguez . Enhancing the accuracy and fairness of human decision making . In Advances in Neural Information Processing Systems , pages 1769 -- 1778 , 2018 . Isabel Valera, Adish Singla, and Manuel Gomez Rodriguez. Enhancing the accuracy and fairness of human decision making. In Advances in Neural Information Processing Systems, pages 1769--1778, 2018."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_199_1","DOI":"10.1145\/3359130"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_200_1","DOI":"10.5555\/2392653"},{"key":"e_1_3_2_1_201_1","volume-title":"envy, and efficiency","author":"Varian Hal R","year":"1973","unstructured":"Hal R Varian . Equity , envy, and efficiency . 1973 . Hal R Varian. Equity, envy, and efficiency. 1973."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_202_1","DOI":"10.1145\/3194770.3194776"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_203_1","DOI":"10.5555\/3152676"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_204_1","DOI":"10.1145\/3313831.3376813"},{"key":"e_1_3_2_1_205_1","volume-title":"Fairness with dynamics. arXiv preprint arXiv:1901.08568","author":"Wen Min","year":"2019","unstructured":"Min Wen , Osbert Bastani , and Ufuk Topcu . Fairness with dynamics. arXiv preprint arXiv:1901.08568 , 2019 . Min Wen, Osbert Bastani, and Ufuk Topcu. Fairness with dynamics. arXiv preprint arXiv:1901.08568, 2019."},{"key":"e_1_3_2_1_206_1","first-page":"46","volume-title":"Science and Technology: A Reader in Feminist Science Studies","author":"Wenneras Christine","year":"2001","unstructured":"Christine Wenneras and Agnes Wold . Nepotism and sexism in peer-review. Women , Science and Technology: A Reader in Feminist Science Studies , pages 46 -- 52 , 2001 . Christine Wenneras and Agnes Wold. Nepotism and sexism in peer-review. Women, Science and Technology: A Reader in Feminist Science Studies, pages 46--52, 2001."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_207_1","DOI":"10.1145\/3173574.3174230"},{"key":"e_1_3_2_1_208_1","volume-title":"A human-in-the-loop framework to construct context-dependent mathematical formulations of fairness. arXiv preprint arXiv:1911.03020","author":"Yaghini Mohammad","year":"2019","unstructured":"Mohammad Yaghini , Hoda Heidari , and Andreas Krause . A human-in-the-loop framework to construct context-dependent mathematical formulations of fairness. arXiv preprint arXiv:1911.03020 , 2019 . Mohammad Yaghini, Hoda Heidari, and Andreas Krause. A human-in-the-loop framework to construct context-dependent mathematical formulations of fairness. arXiv preprint arXiv:1911.03020, 2019."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_209_1","DOI":"10.1145\/3038912.3052660"},{"key":"e_1_3_2_1_210_1","first-page":"229","volume-title":"Advances in Neural Information Processing Systems","author":"Zafar Muhammad Bilal","year":"2017","unstructured":"Muhammad Bilal Zafar , Isabel Valera , Manuel Rodriguez , Krishna Gummadi , and Adrian Weller . From parity to preference-based notions of fairness in classification . In Advances in Neural Information Processing Systems , pages 229 -- 239 , 2017 . Muhammad Bilal Zafar, Isabel Valera, Manuel Rodriguez, Krishna Gummadi, and Adrian Weller. From parity to preference-based notions of fairness in classification. In Advances in Neural Information Processing Systems, pages 229--239, 2017."},{"key":"e_1_3_2_1_211_1","first-page":"325","volume-title":"International Conference on Machine Learning","author":"Zemel Rich","year":"2013","unstructured":"Rich Zemel , Yu Wu , Kevin Swersky , Toni Pitassi , and Cynthia Dwork . Learning fair representations . In International Conference on Machine Learning , pages 325 -- 333 , 2013 . Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, and Cynthia Dwork. Learning fair representations. In International Conference on Machine Learning, pages 325--333, 2013."},{"key":"e_1_3_2_1_212_1","volume-title":"Fairness in Learning-Based Sequential Decision Algorithms: A Survey. arXiv preprint arXiv:2001.04861","author":"Zhang Xueru","year":"2020","unstructured":"Xueru Zhang and Mingyan Liu . Fairness in Learning-Based Sequential Decision Algorithms: A Survey. arXiv preprint arXiv:2001.04861 , 2020 . Xueru Zhang and Mingyan Liu. Fairness in Learning-Based Sequential Decision Algorithms: A Survey. arXiv preprint arXiv:2001.04861, 2020."},{"key":"e_1_3_2_1_213_1","volume-title":"The ai economist: Improving equality and productivity with ai-driven tax policies. arXiv preprint arXiv:2004.13332","author":"Zheng Stephan","year":"2020","unstructured":"Stephan Zheng , Alexander Trott , Sunil Srinivasa , Nikhil Naik , Melvin Gruesbeck , David C Parkes , and Richard Socher . The ai economist: Improving equality and productivity with ai-driven tax policies. arXiv preprint arXiv:2004.13332 , 2020 . Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C Parkes, and Richard Socher. The ai economist: Improving equality and productivity with ai-driven tax policies. arXiv preprint arXiv:2004.13332, 2020."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_214_1","DOI":"10.1111\/biom.13206"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_215_1","DOI":"10.1145\/779928.779949"}],"event":{"sponsor":["ACM Association for Computing Machinery"],"acronym":"FAccT '21","name":"FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency","location":"Virtual Event Canada"},"container-title":["Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442188.3445912","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,2]],"date-time":"2023-02-02T19:28:01Z","timestamp":1675366081000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442188.3445912"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":215,"alternative-id":["10.1145\/3442188.3445912","10.1145\/3442188"],"URL":"https:\/\/doi.org\/10.1145\/3442188.3445912","relation":{},"subject":[],"published":{"date-parts":[[2021,3]]},"assertion":[{"value":"2021-03-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}