Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

24 October 2016

Papers citing "Fair prediction with disparate impact: A study of bias in recidivism prediction instruments"

50 / 871 papers shown

Title
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives Angie Peng Jeffrey Naecker B. Hutchinson A. Smart Nyalleng Moorosi 71 0 0 08 Dec 2020
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy Kit T. Rodolfa Hemank Lamba Rayid Ghani 145 99 0 05 Dec 2020
Rethinking recidivism through a causal lens Vik Shirvaikar C. Lakshminarayan CML 121 0 0 19 Nov 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 187 269 0 15 Nov 2020
FairLens: Auditing Black-box Clinical Decision Support Systems Cecilia Panigutti Alan Perotti Andre' Panisson P. Bajardi D. Pedreschi 100 72 0 08 Nov 2020
Fair Machine Learning Under Partial Compliance Jessica Dai S. Fazelpour Zachary Chase Lipton 87 11 0 07 Nov 2020
Does enforcing fairness mitigate biases caused by subpopulation shift? Subha Maity Debarghya Mukherjee Mikhail Yurochkin Yuekai Sun 175 25 0 06 Nov 2020
Debiasing classifiers: is reality at variance with expectation? Ashrya Agrawal Florian Pfisterer B. Bischl Francois Buet-Golfouse Srijan Sood Jiahao Chen Sameena Shah Sebastian J. Vollmer CML FaML 86 18 0 04 Nov 2020
Quadratic Metric Elicitation for Fairness and Beyond Gaurush Hiranandani Jatin Mathur Harikrishna Narasimhan Oluwasanmi Koyejo 179 5 0 03 Nov 2020
Making ML models fairer through explanations: the case of LimeOut Guilherme Alves Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 53 7 0 01 Nov 2020
Fair Classification with Group-Dependent Label Noise Jialu Wang Yang Liu Caleb C. Levy NoLa 176 106 0 31 Oct 2020
Linear Classifiers that Encourage Constructive Adaptation Yatong Chen Jialu Wang Yang Liu 172 18 0 31 Oct 2020
Gender Bias in Depression Detection Using Audio Features A. Bailey Mark D. Plumbley 123 69 0 28 Oct 2020
The Pursuit of Algorithmic Fairness: On "Correcting" Algorithmic Unfairness in a Child Welfare Reunification Success Classifier Jordan Purdy B. Glass FaML 66 7 0 22 Oct 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data Lingkai Kong Haoming Jiang Yuchen Zhuang Jie Lyu T. Zhao Chao Zhang OODD 108 25 0 22 Oct 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference Disi Ji Padhraic Smyth M. Steyvers 105 49 0 19 Oct 2020
Survey on Causal-based Machine Learning Fairness Notions K. Makhlouf Sami Zhioua C. Palamidessi FaML 274 90 0 19 Oct 2020
Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice Andrii Babii Xi Chen Eric Ghysels Rohit Kumar FaML 160 10 0 16 Oct 2020
Causal Multi-Level Fairness Vishwali Mhasawade R. Chunara 111 27 0 14 Oct 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 199 397 0 14 Oct 2020
Equitable Allocation of Healthcare Resources with Fair Cox Models Kamrun Naher Keya Rashidul Islam Shimei Pan I. Stockwell James R. Foulds 67 11 0 14 Oct 2020
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 237 88 0 13 Oct 2020
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches Sonia Baee Mark Rucker Anna N. Baglione Mawulolo K. Ameko Laura E. Barnes 39 3 0 12 Oct 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 196 63 0 12 Oct 2020
CryptoCredit: Securely Training Fair Models Leo de Castro Jiahao Chen Antigoni Polychroniadou 84 3 0 09 Oct 2020
Towards Self-Regulating AI: Challenges and Opportunities of AI Model Governance in Financial Services Eren Kurshan Hongda Shen Jiahao Chen AIFin 87 28 0 09 Oct 2020
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms Gareth Jones James M. Hickey Pietro G. Di Stefano C. Dhanjal Laura C. Stoddart V. Vasileiou FaML 74 21 0 08 Oct 2020
Fairness Perception from a Network-Centric Perspective Farzan Masrour P. Tan A. Esfahanian FaML 57 2 0 07 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 213 708 0 04 Oct 2020
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets Lequn Wang Thorsten Joachims FaML 131 65 0 04 Oct 2020
Measure Utility, Gain Trust: Practical Advice for XAI Researcher B. Pierson M. Glenski William I. N. Sealy Dustin L. Arendt 75 28 0 27 Sep 2020
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination Tao Zhang Tianqing Zhu Jing Li Mengde Han Wanlei Zhou Philip S. Yu FaML 111 54 0 25 Sep 2020
Legally grounded fairness objectives Dylan Holden-Sim Gavin Leech Laurence Aitchison AILaw FaML 50 0 0 24 Sep 2020
Probabilistic Machine Learning for Healthcare Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath OOD 125 60 0 23 Sep 2020
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data Catherine Ordun Edward Raff S. Purushotham 88 15 0 22 Sep 2020
Group Fairness by Probabilistic Modeling with Latent Fair Decisions YooJung Choi Meihua Dang Karen Ullrich FaML 131 34 0 18 Sep 2020
FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition Tomás Sixta Julio C. S. Jacques Junior Pau Buch-Cardona Neil M. Robertson E. Vazquez Sergio Escalera CVBM 130 34 0 16 Sep 2020
Fairness Constraints in Semi-supervised Learning Tao Zhang Tianqing Zhu Mengde Han Jing Li Wanlei Zhou Philip S. Yu FaML 112 7 0 14 Sep 2020
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation Nasim Sonboli Robin Burke Nicholas Mattei Farzad Eskandanian Tian Gao FaML 41 12 0 05 Sep 2020
The Fairness-Accuracy Pareto Front Susan Wei Marc Niethammer FaML 149 36 0 25 Aug 2020
LiFT: A Scalable Framework for Measuring Fairness in ML Applications Sriram Vasudevan K. Kenthapadi FaML 113 56 0 14 Aug 2020
Deep F-measure Maximization for End-to-End Speech Understanding Leda Sari M. Hasegawa-Johnson FedML 61 0 0 08 Aug 2020
Distributionally Robust Losses for Latent Covariate Mixtures John C. Duchi Tatsunori Hashimoto Hongseok Namkoong 100 85 0 28 Jul 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen Pfohl Agata Foryciarz N. Shah FaML 158 123 0 20 Jul 2020
On Coresets for Fair Clustering in Metric and Euclidean Spaces and Their Applications Sayan Bandyapadhyay F. Fomin Kirill Simonov 109 45 0 20 Jul 2020
On Controllability of AI Roman V. Yampolskiy 98 14 0 19 Jul 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 116 63 0 18 Jul 2020
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Vladimiro González-Zelaya P. Missier Magdalene Ng Aad van Moorsel 152 19 0 17 Jul 2020
What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design Samantha Robertson Niloufar Salehi 62 42 0 13 Jul 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 143 135 0 10 Jul 2020