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Algorithmic decisions often result in scoring and ranking individuals to determine credit worthiness, qualifications for college admissions and employment, and compatibility as dating partners.
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Malcolm Gladwell. February 14, 2011 · 2011
Earlier work this paper cites.
Making interval-based clustering rank-aware. In EDBT . 437–448
Julia Stoyanovich, Sihem Amer-Yahia, and Tova Milo. 2011 · 2011
Earlier work this paper cites.
The Scored Society: Due Process for Automated Predictions
Danielle K. Citron and Frank A. Pasquale. 2014 · 2014
Earlier work this paper cites.
Algorithms for interpretable machine learning. In ACM SIGKDD . 1519
Cynthia Rudin. 2014 · 2014
Earlier work this paper cites.
Auditing Algorithms: Research Methods for Detecting Discrimination on Internet Platforms
Christian Sandvig, Kevin Hamilton, Karrie Karahalios, and Cedric Langbort. 2014 · 2014
Earlier work this paper cites.
Black Box Tinkering: Beyond Transparency in Algorithmic Enforcement
Maayan Perel and Niva Elkin-Koren. 2016 · 2016
Cited alongside, same era.
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. In ACM SIGKDD . 1135–1144
Marco Túlio Ribeiro, Sameer Singh, and Carlos Guestrin. 2016 · 2016
Cited alongside, same era.
Revealing Algorithmic Rankers
Julia Stoyanovich and Ellen P. Goodman. August 5, 2016 · 2016
Cited alongside, same era.
Bayesian Rule Sets for Interpretable Classification. In IEEE ICDM . 1269–1274
Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, and Perry MacNeille. 2016 · 2016
Cited alongside, same era.
Diversity in Big Data: A Review
Marina Drosou, HV Jagadish, Evaggelia Pitoura, and Julia Stoyanovich. 2017 · 2017
Cited alongside, same era.
Accountable Algorithms
Joshua A. Kroll, Joanna Huey, Solon Barocas, Edward W. Felten, Joel R. Reidenberg, David G. Robinson, and Harlan Yu. 2017 · 2017
Later among the works it cites.
Measuring Fairness in Ranked Outputs. In SSDBM . 22:1–22:6
Ke Yang and Julia Stoyanovich. 2017 · 2017
Later among the works it cites.
FA*IR: A Fair Top-k Ranking Algorithm. In ACM CIKM . 1569–1578
Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, and Ricardo A. Baeza-Yates. 2017 · 2017
Later among the works it cites.
Measuring discrimination in algorithmic decision making
Indre Zliobaite. 2017 · 2017
Later among the works it cites.
Online Set Selection with Fairness and Diversity Constraints. In EDBT . 241–252
Julia Stoyanovich, Ke Yang, and H. V. Jagadish. 2018 · 2018
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