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
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 117 1 0 13 Sep 2021
Feature-based Individual Fairness in k-Clustering Debajyoti Kar Mert Kosan Debmalya Mandal Sourav Medya A. Silva P. Dey Swagato Sanyal FaML 130 11 0 09 Sep 2021
Gradual (In)Compatibility of Fairness Criteria Corinna Hertweck T. Raz 117 14 0 09 Sep 2021
A Systematic Approach to Group Fairness in Automated Decision Making Corinna Hertweck Christoph Heitz FaML 66 2 0 09 Sep 2021
On Characterizing the Trade-off in Invariant Representation Learning Bashir Sadeghi Sepehr Dehdashtian Vishnu Boddeti 155 9 0 08 Sep 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 84 46 0 07 Sep 2021
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data Samhita Kanaparthy Manisha Padala Sankarshan Damle Ravi Kiran Sarvadevabhatla Sujit Gujar CVBM 135 2 0 06 Sep 2021
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks Amirarsalan Rajabi O. Garibay GAN 101 61 0 02 Sep 2021
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks Xudong Shen Yongkang Wong Mohan S. Kankanhalli FaML 131 22 0 01 Sep 2021
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes Alan Mishler Edward H. Kennedy FaML 147 23 0 01 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Tianyu Wang Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 252 569 0 31 Aug 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 116 24 0 27 Aug 2021
Federated Learning Meets Fairness and Differential Privacy P. Manisha Sankarshan Damle Sujit Gujar FedML 105 21 0 23 Aug 2021
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets Gonzalo Nápoles Lisa Koutsoviti Koumeri 71 17 0 20 Aug 2021
Understanding and Mitigating Annotation Bias in Facial Expression Recognition Yunliang Chen Jungseock Joo CVBM 105 87 0 19 Aug 2021
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems Jakob Schoeffer Niklas Kuehl 66 26 0 14 Aug 2021
Fairness Through Counterfactual Utilities Jack Blandin Ian A. Kash FaML 129 2 0 11 Aug 2021
Retiring Adult: New Datasets for Fair Machine Learning Frances Ding Moritz Hardt John Miller Ludwig Schmidt 302 498 0 10 Aug 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 145 27 0 20 Jul 2021
Diversity in Sociotechnical Machine Learning Systems S. Fazelpour Maria De-Arteaga 100 39 0 19 Jul 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 240 139 0 16 Jul 2021
On the impossibility of non-trivial accuracy under fairness constraints Carlos Pinzón C. Palamidessi Pablo Piantanida Frank D. Valencia FaML 104 1 0 14 Jul 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial Yang Liu Jialu Wang NoLa 117 20 0 13 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 252 227 0 12 Jul 2021
Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness Ben Green FaML 207 40 0 09 Jul 2021
Multiaccurate Proxies for Downstream Fairness Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth Saeed Sharifi-Malvajerdi 133 23 0 09 Jul 2021
Fair Decision Rules for Binary Classification Connor Lawless Oktay Gunluk FaML 57 6 0 03 Jul 2021
The Price of Diversity H. Bandi Dimitris Bertsimas 61 0 0 03 Jul 2021
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions Mukund Telukunta Venkata Sriram Siddhardh Nadendla 56 0 0 29 Jun 2021
"Part Man, Part Machine, All Cop": Automation in Policing Angelika Adensamer Lukas Daniel Klausner 41 8 0 24 Jun 2021
A Unified Approach to Fair Online Learning via Blackwell Approachability Evgenii Chzhen Christophe Giraud Gilles Stoltz FaML 77 12 0 23 Jun 2021
Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects Julius von Kügelgen N. Agarwal Jakob Zeitler Afsaneh Mastouri Bernhard Schölkopf CML 89 2 0 22 Jun 2021
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation Agnieszka Słowik Léon Bottou FaML 111 20 0 17 Jun 2021
Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy Falaah Arif Khan Eleni Manis Julia Stoyanovich FaML 62 10 0 15 Jun 2021
Characterizing the risk of fairwashing Ulrich Aïvodji Hiromi Arai Sébastien Gambs Satoshi Hara 104 28 0 14 Jun 2021
Assessing Multilingual Fairness in Pre-trained Multimodal Representations Jialu Wang Yang Liu Xinze Wang EGVM 152 39 0 12 Jun 2021
Probability Paths and the Structure of Predictions over Time Zhiyuan Jerry Lin Hao Sheng Sharad Goel 99 2 0 11 Jun 2021
Fair Classification with Adversarial Perturbations L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 117 33 0 10 Jun 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 132 21 0 07 Jun 2021
FairCal: Fairness Calibration for Face Verification Tiago Salvador Stephanie Cairns Vikram S. Voleti Noah Marshall Adam M. Oberman FaML 117 20 0 07 Jun 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models Ibrahim Alabdulmohsin Mario Lucic 105 22 0 06 Jun 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 228 128 0 02 Jun 2021
Testing Group Fairness via Optimal Transport Projections Nian Si Karthyek Murthy Jose H. Blanchet Viet Anh Nguyen 107 33 0 02 Jun 2021
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 194 203 0 01 Jun 2021
Model Mis-specification and Algorithmic Bias Runshan Fu Yang Liang Peter Zhang 39 0 0 31 May 2021
Multi-group Agnostic PAC Learnability G. Rothblum G. Yona FaML 150 40 0 20 May 2021
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective Flavien Prost Pranjal Awasthi Nicholas Blumm A. Kumthekar Trevor Potter Li Wei Xuezhi Wang Ed H. Chi Jilin Chen Alex Beutel 108 16 0 20 May 2021
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education Michael A. Madaio Su Lin Blodgett Elijah Mayfield Ezekiel Dixon-Román 63 34 0 18 May 2021
Cohort Shapley value for algorithmic fairness Masayoshi Mase Art B. Owen Benjamin B. Seiler 128 14 0 15 May 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 133 9 0 13 May 2021