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 / 858 papers shown

Title
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 37 6 0 13 Jan 2022
Learning Fair Node Representations with Graph Counterfactual Fairness Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 121 81 0 10 Jan 2022
Uncovering the Source of Machine Bias Xiyang Hu Yan-ping Huang Beibei Li Tian Lu FaML 77 2 0 09 Jan 2022
There is an elephant in the room: Towards a critique on the use of fairness in biometrics Ana Valdivia Júlia Corbera Serrajòrdia Aneta Swianiewicz 54 17 0 16 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 83 351 0 13 Dec 2021
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions Brianna Richardson J. Gilbert FaML 61 37 0 10 Dec 2021
On Fair Selection in the Presence of Implicit and Differential Variance V. Emelianov Nicolas Gast Krishna P. Gummadi Patrick Loiseau 69 22 0 10 Dec 2021
Qualitative Analysis for Human Centered AI Orestis Papakyriakopoulos E. A. Watkins Amy A. Winecoff Klaudia Ja'zwiñska Tithi Chattopadhyay 119 8 0 07 Dec 2021
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents Andrew Estornell Sanmay Das Yang Liu Yevgeniy Vorobeychik FaML 67 10 0 06 Dec 2021
Counterfactual Fairness in Mortgage Lending via Matching and Randomization Sama Ghoba Nathan Colaner 49 1 0 03 Dec 2021
Learning Fair Classifiers with Partially Annotated Group Labels Sangwon Jung Sanghyuk Chun Taesup Moon 141 46 0 29 Nov 2021
Online Fair Revenue Maximizing Cake Division with Non-Contiguous Pieces in Adversarial Bandits Mohammad Ghodsi Amirmahdi Mirfakhar 56 2 0 29 Nov 2021
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal Pavan Ravishankar Pranshu Malviya Balaraman Ravindran 105 1 0 29 Nov 2021
Fairness for AUC via Feature Augmentation H. Fong Vineet Kumar Anay Mehrotra Nisheeth K. Vishnoi 85 10 0 24 Nov 2021
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR Yuyin Zhou Shih-Cheng Huang Jason Alan Fries Alaa Youssef T. Amrhein ... Imon Banerjee D. Rubin Lei Xing N. Shah M. Lungren 86 46 0 23 Nov 2021
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions Chunxi Liu M. Picheny Leda Sari Pooja Chitkara Alex Xiao Xiaohui Zhang Mark Chou Andres Alvarado C. Hazirbas Yatharth Saraf 88 44 0 18 Nov 2021
Interpretable and Fair Boolean Rule Sets via Column Generation Connor Lawless S. Dash Oktay Gunluk Dennis L. Wei FaML 101 13 0 16 Nov 2021
Unified Group Fairness on Federated Learning Fengda Zhang Kun Kuang Yuxuan Liu Long Chen Chao-Xiang Wu Leilei Gan Jiaxun Lu Yunfeng Shao Jun Xiao FedML 121 20 0 09 Nov 2021
Group-Aware Threshold Adaptation for Fair Classification T. Jang P. Shi Xiaoqian Wang FaML 125 38 0 08 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 79 36 0 04 Nov 2021
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services Eren Kurshan Jiahao Chen Victor Storchan Hongda Shen FaML AIFin 86 11 0 02 Nov 2021
Unintended Selection: Persistent Qualification Rate Disparities and Interventions Reilly P. Raab Yang Liu 109 25 0 01 Nov 2021
Selective Regression Under Fairness Criteria Abhin Shah Yuheng Bu Joshua K. Lee Subhro Das Yikang Shen P. Sattigeri G. Wornell 114 28 0 28 Oct 2021
On the Fairness of Machine-Assisted Human Decisions Talia B. Gillis Bryce Mclaughlin Jann Spiess FaML 64 16 0 28 Oct 2021
Simple data balancing achieves competitive worst-group-accuracy Badr Youbi Idrissi Martín Arjovsky Mohammad Pezeshki David Lopez-Paz 120 183 0 27 Oct 2021
Unbiased Graph Embedding with Biased Graph Observations Nan Wang Lu Lin Jundong Li Hongning Wang CML 102 38 0 26 Oct 2021
Debiasing Credit Scoring using Evolutionary Algorithms Nigel Kingsman 42 2 0 25 Oct 2021
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach D. Rengasamy J. M. Mase Mercedes Torres Torres Benjamin Rothwell David A. Winkler Grazziela Figueredo FAtt 31 2 0 22 Oct 2021
fairadapt: Causal Reasoning for Fair Data Pre-processing Drago Plečko Nicolas Bennett N. Meinshausen FaML 24 11 0 19 Oct 2021
Unpacking the Black Box: Regulating Algorithmic Decisions Laura Blattner Scott Nelson Jann Spiess MLAU FaML 80 19 0 05 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 213 383 0 04 Oct 2021
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification G. Rothblum G. Yona FaML 90 1 0 02 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 112 252 0 01 Oct 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 76 101 0 27 Sep 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models Yunhan Zheng Shenhao Wang Jinhuan Zhao HAI 92 29 0 25 Sep 2021
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making Yi Yang Ying Nian Wu Mei Li Xiangyu Chang Yong Tan FaML 51 0 0 21 Sep 2021
Identifying biases in legal data: An algorithmic fairness perspective J. Sargent Melanie Weber FaML 71 7 0 21 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 66 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 97 10 0 09 Sep 2021
Gradual (In)Compatibility of Fairness Criteria Corinna Hertweck T. Raz 79 12 0 09 Sep 2021
A Systematic Approach to Group Fairness in Automated Decision Making Corinna Hertweck Christoph Heitz FaML 49 2 0 09 Sep 2021
On Characterizing the Trade-off in Invariant Representation Learning Bashir Sadeghi Sepehr Dehdashtian Vishnu Boddeti 113 7 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 80 43 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 66 2 0 06 Sep 2021
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks Amirarsalan Rajabi O. Garibay GAN 85 58 0 02 Sep 2021
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks Xudong Shen Yongkang Wong Mohan S. Kankanhalli FaML 95 20 0 01 Sep 2021
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes Alan Mishler Edward H. Kennedy FaML 135 23 0 01 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 168 536 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 78 24 0 27 Aug 2021
Federated Learning Meets Fairness and Differential Privacy P. Manisha Sankarshan Damle Sujit Gujar FedML 81 21 0 23 Aug 2021