Algorithmic Fairness in Business Analytics: Directions for Research and Practice

22 July 2022

Papers citing "Algorithmic Fairness in Business Analytics: Directions for Research and Practice"

33 / 33 papers shown

Title
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 52 97 0 27 Sep 2021
Cost-Accuracy Aware Adaptive Labeling for Active Learning Ruijiang Gao M. Saar-Tsechansky HAI 39 20 0 24 May 2021
Fairness in Credit Scoring: Assessment, Implementation and Profit Implications Nikita Kozodoi Johannes Jacob Stefan Lessmann FaML 52 116 0 02 Mar 2021
The effect of differential victim crime reporting on predictive policing systems Nil-Jana Akpinar Maria De-Arteaga Alexandra Chouldechova 27 35 0 30 Jan 2021
Fairness, Welfare, and Equity in Personalized Pricing Nathan Kallus Angela Zhou 44 40 0 21 Dec 2020
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy Kit T. Rodolfa Hemank Lamba Rayid Ghani 74 90 0 05 Dec 2020
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness Tong Wang M. Saar-Tsechansky 148 11 0 17 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 109 687 0 06 Nov 2020
The Criminality From Face Illusion Kevin W. Bowyer Michael C. King Walter J. Scheirer Kushal Vangara CVBM 38 20 0 06 Jun 2020
What's Sex Got To Do With Fair Machine Learning? Lily Hu Issa Kohler-Hausmann FaML 46 81 0 02 Jun 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 53 390 0 21 Jan 2020
Predictive Multiplicity in Classification Charles Marx Flavio du Pin Calmon Berk Ustun 116 145 0 14 Sep 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 56 157 0 01 Jun 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 90 382 0 30 Apr 2019
Discrimination in the Age of Algorithms Jon M. Kleinberg J. Ludwig S. Mullainathan C. Sunstein FaML 32 325 0 11 Feb 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting Maria De-Arteaga Alexey Romanov Hanna M. Wallach J. Chayes C. Borgs Alexandra Chouldechova S. Geyik K. Kenthapadi Adam Tauman Kalai 181 455 0 27 Jan 2019
Predicting with Proxies: Transfer Learning in High Dimension Hamsa Bastani 54 75 0 28 Dec 2018
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 245 757 0 13 Dec 2018
Envy-Free Classification Maria-Florina Balcan Travis Dick Ritesh Noothigattu Ariel D. Procaccia FaML 63 39 0 23 Sep 2018
The Disparate Effects of Strategic Manipulation Lily Hu Nicole Immorlica Jennifer Wortman Vaughan 111 165 0 27 Aug 2018
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 105 582 0 20 Jun 2018
Delayed Impact of Fair Machine Learning Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 85 477 0 12 Mar 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 197 1,385 0 22 Jan 2018
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 191 878 0 06 Sep 2017
Fairer and more accurate, but for whom? Alexandra Chouldechova M. G'Sell 51 63 0 30 Jun 2017
Runaway Feedback Loops in Predictive Policing D. Ensign Sorelle A. Friedler Scott Neville C. Scheidegger Suresh Venkatasubramanian 63 346 0 29 Jun 2017
Fair Inference On Outcomes Razieh Nabi I. Shpitser FaML 54 351 0 29 May 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 215 1,577 0 20 Mar 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 300 2,110 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 222 4,307 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 114 1,769 0 19 Sep 2016
Fairness in Learning: Classic and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 59 475 0 23 May 2016
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination Amit Datta Michael Carl Tschantz Anupam Datta 72 734 0 27 Aug 2014