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Title

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

24 October 2016

Alexandra Chouldechova

FaML

ArXiv (abs)PDF HTML

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

50 / 866 papers shown

Title
Addressing multiple metrics of group fairness in data-driven decision making M. Miron Songül Tolan Emilia Gómez Carlos Castillo FaML 124 8 0 10 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 125 231 0 09 Mar 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge P. Drozdowski Christian Rathgeb A. Dantcheva N. Damer C. Busch FaML 250 218 0 05 Mar 2020
Counterfactual fairness: removing direct effects through regularization Pietro G. Di Stefano James M. Hickey V. Vasileiou FaML 140 19 0 25 Feb 2020
Bandit Learning with Delayed Impact of Actions Wei Tang Chien-Ju Ho Yang Liu 143 13 0 24 Feb 2020
Fair Adversarial Networks G. Cevora 59 4 0 23 Feb 2020
Fair Prediction with Endogenous Behavior Christopher Jung Sampath Kannan Changhwa Lee Mallesh M. Pai Aaron Roth R. Vohra FaML 61 38 0 18 Feb 2020
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled? Claire Lazar Reich Suhas Vijaykumar FaML 105 19 0 18 Feb 2020
Individual Fairness for $k$ -Clustering S. Mahabadi A. Vakilian FaML 164 89 0 17 Feb 2020
Convex Fairness Constrained Model Using Causal Effect Estimators Hikaru Ogura Akiko Takeda 49 2 0 16 Feb 2020
Trustworthy AI Jeannette M. Wing 91 224 0 14 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 126 317 0 14 Feb 2020
Metric-Free Individual Fairness in Online Learning Yahav Bechavod Christopher Jung Zhiwei Steven Wu FaML 221 51 0 13 Feb 2020
Solution manifold and Its Statistical Applications Swee Hong Chan 121 7 0 13 Feb 2020
To Split or Not to Split: The Impact of Disparate Treatment in Classification Hao Wang Hsiang Hsu Mario Díaz Flavio du Pin Calmon 145 23 0 12 Feb 2020
Joint Optimization of AI Fairness and Utility: A Human-Centered Approach Yunfeng Zhang Rachel K. E. Bellamy Kush R. Varshney 77 40 0 05 Feb 2020
Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism Keri Mallari K. Quinn Paul Johns Sarah Tan Divya Ramesh Ece Kamar FaML 88 30 0 04 Feb 2020
Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions Kit T. Rodolfa E. Salomon Lauren Haynes Iván Higuera Mendieta Jamie L Larson Rayid Ghani 58 53 0 24 Jan 2020
Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack Bo Zhang Ruotong Yu Haipei Sun Yanying Li Jun Xu Wendy Hui Wang AAML 61 14 0 24 Jan 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 129 403 0 21 Jan 2020
Algorithmic Fairness from a Non-ideal Perspective S. Fazelpour Zachary Chase Lipton FaML 85 104 0 08 Jan 2020
On Consequentialism and Fairness Dallas Card Noah A. Smith FaML 100 12 0 02 Jan 2020
Leveraging Semi-Supervised Learning for Fairness using Neural Networks Vahid Noroozi S. Bahaadini Samira Sheikhi Nooshin Mojab Philip S. Yu 161 7 0 31 Dec 2019
Teaching Responsible Data Science: Charting New Pedagogical Territory Julia Stoyanovich Armanda Lewis 57 39 0 23 Dec 2019
Learning from Discriminatory Training Data Przemyslaw A. Grabowicz Nicholas Perello Kenta Takatsu FaML 108 1 0 17 Dec 2019
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics Debjani Saha Candice Schumann Duncan C. McElfresh John P. Dickerson Michelle L. Mazurek Michael Carl Tschantz FaML 105 17 0 17 Dec 2019
On the Apparent Conflict Between Individual and Group Fairness Reuben Binns FaML 158 326 0 14 Dec 2019
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 189 420 0 11 Dec 2019
Value-laden Disciplinary Shifts in Machine Learning Ravit Dotan S. Milli AILaw 92 48 0 03 Dec 2019
Automated Dependence Plots David I. Inouye Liu Leqi Joon Sik Kim Bryon Aragam Pradeep Ravikumar 77 1 0 02 Dec 2019
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? Avrim Blum Kevin Stangl FaML 88 90 0 02 Dec 2019
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions Sebastian Schelter Yuxuan He Jatin Khilnani Julia Stoyanovich 61 60 0 28 Nov 2019
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments Roel Dobbe T. Gilbert Yonatan Dov Mintz 82 19 0 20 Nov 2019
Fair Data Adaptation with Quantile Preservation Drago Plečko N. Meinshausen 98 31 0 15 Nov 2019
What Do Compressed Deep Neural Networks Forget? Sara Hooker Aaron Courville Gregory Clark Yann N. Dauphin Andrea Frome 181 190 0 13 Nov 2019
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness Zhu Li Adrián Pérez-Suay Gustau Camps-Valls Dino Sejdinovic FaML 118 23 0 11 Nov 2019
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness Mohammad Yaghini A. Krause Hoda Heidari FaML 104 22 0 08 Nov 2019
Learning Fair and Interpretable Representations via Linear Orthogonalization Yuzi He Keith Burghardt Kristina Lerman FaML 85 4 0 28 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 547 6,741 0 22 Oct 2019
Optimization Hierarchy for Fair Statistical Decision Problems A. Aswani Matt Olfat 180 3 0 18 Oct 2019
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing Sanghamitra Dutta Dennis L. Wei Hazar Yueksel Pin-Yu Chen Sijia Liu Kush R. Varshney FaML 86 11 0 17 Oct 2019
Conditional Learning of Fair Representations Han Zhao Amanda Coston T. Adel Geoffrey J. Gordon FaML 96 115 0 16 Oct 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability Christopher Frye C. Rowat Ilya Feige 207 195 0 14 Oct 2019
Keeping Designers in the Loop: Communicating Inherent Algorithmic Trade-offs Across Multiple Objectives Bowen Yu Ye Yuan Loren G. Terveen Zhiwei Steven Wu Jodi Forlizzi Haiyi Zhu 88 2 0 07 Oct 2019
Group-based Fair Learning Leads to Counter-intuitive Predictions Ofir Nachum Heinrich Jiang FaML 49 2 0 04 Oct 2019
Generating Fair Universal Representations using Adversarial Models Peter Kairouz Jiachun Liao Chong Huang Maunil R. Vyas Monica Welfert Lalitha Sankar 193 17 0 27 Sep 2019
This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology D. Mulligan Joshua A. Kroll Nitin Kohli Richmond Y. Wong 128 75 0 26 Sep 2019
Fair-by-design explainable models for prediction of recidivism Eduardo Soares Plamen Angelov FaML 64 22 0 18 Sep 2019
Advancing subgroup fairness via sleeping experts Avrim Blum Thodoris Lykouris FedML 72 37 0 18 Sep 2019
A Distributed Fair Machine Learning Framework with Private Demographic Data Protection Hui Hu Yijun Liu Zhen Wang Chao Lan FaML FedML 113 26 0 17 Sep 2019

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

24 October 2016

Alexandra Chouldechova

FaML

ArXiv (abs)PDF HTML

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

50 / 866 papers shown

Title
Addressing multiple metrics of group fairness in data-driven decision making M. Miron Songül Tolan Emilia Gómez Carlos Castillo FaML 124 8 0 10 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 125 231 0 09 Mar 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge P. Drozdowski Christian Rathgeb A. Dantcheva N. Damer C. Busch FaML 250 218 0 05 Mar 2020
Counterfactual fairness: removing direct effects through regularization Pietro G. Di Stefano James M. Hickey V. Vasileiou FaML 140 19 0 25 Feb 2020
Bandit Learning with Delayed Impact of Actions Wei Tang Chien-Ju Ho Yang Liu 143 13 0 24 Feb 2020
Fair Adversarial Networks G. Cevora 59 4 0 23 Feb 2020
Fair Prediction with Endogenous Behavior Christopher Jung Sampath Kannan Changhwa Lee Mallesh M. Pai Aaron Roth R. Vohra FaML 61 38 0 18 Feb 2020
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled? Claire Lazar Reich Suhas Vijaykumar FaML 105 19 0 18 Feb 2020
Individual Fairness for $k$ -Clustering S. Mahabadi A. Vakilian FaML 164 89 0 17 Feb 2020
Convex Fairness Constrained Model Using Causal Effect Estimators Hikaru Ogura Akiko Takeda 49 2 0 16 Feb 2020
Trustworthy AI Jeannette M. Wing 91 224 0 14 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 126 317 0 14 Feb 2020
Metric-Free Individual Fairness in Online Learning Yahav Bechavod Christopher Jung Zhiwei Steven Wu FaML 221 51 0 13 Feb 2020
Solution manifold and Its Statistical Applications Swee Hong Chan 121 7 0 13 Feb 2020
To Split or Not to Split: The Impact of Disparate Treatment in Classification Hao Wang Hsiang Hsu Mario Díaz Flavio du Pin Calmon 145 23 0 12 Feb 2020
Joint Optimization of AI Fairness and Utility: A Human-Centered Approach Yunfeng Zhang Rachel K. E. Bellamy Kush R. Varshney 77 40 0 05 Feb 2020
Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism Keri Mallari K. Quinn Paul Johns Sarah Tan Divya Ramesh Ece Kamar FaML 88 30 0 04 Feb 2020
Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions Kit T. Rodolfa E. Salomon Lauren Haynes Iván Higuera Mendieta Jamie L Larson Rayid Ghani 58 53 0 24 Jan 2020
Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack Bo Zhang Ruotong Yu Haipei Sun Yanying Li Jun Xu Wendy Hui Wang AAML 61 14 0 24 Jan 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 129 403 0 21 Jan 2020
Algorithmic Fairness from a Non-ideal Perspective S. Fazelpour Zachary Chase Lipton FaML 85 104 0 08 Jan 2020
On Consequentialism and Fairness Dallas Card Noah A. Smith FaML 100 12 0 02 Jan 2020
Leveraging Semi-Supervised Learning for Fairness using Neural Networks Vahid Noroozi S. Bahaadini Samira Sheikhi Nooshin Mojab Philip S. Yu 161 7 0 31 Dec 2019
Teaching Responsible Data Science: Charting New Pedagogical Territory Julia Stoyanovich Armanda Lewis 57 39 0 23 Dec 2019
Learning from Discriminatory Training Data Przemyslaw A. Grabowicz Nicholas Perello Kenta Takatsu FaML 108 1 0 17 Dec 2019
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics Debjani Saha Candice Schumann Duncan C. McElfresh John P. Dickerson Michelle L. Mazurek Michael Carl Tschantz FaML 105 17 0 17 Dec 2019
On the Apparent Conflict Between Individual and Group Fairness Reuben Binns FaML 158 326 0 14 Dec 2019
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 189 420 0 11 Dec 2019
Value-laden Disciplinary Shifts in Machine Learning Ravit Dotan S. Milli AILaw 92 48 0 03 Dec 2019
Automated Dependence Plots David I. Inouye Liu Leqi Joon Sik Kim Bryon Aragam Pradeep Ravikumar 77 1 0 02 Dec 2019
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? Avrim Blum Kevin Stangl FaML 88 90 0 02 Dec 2019
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions Sebastian Schelter Yuxuan He Jatin Khilnani Julia Stoyanovich 61 60 0 28 Nov 2019
Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments Roel Dobbe T. Gilbert Yonatan Dov Mintz 82 19 0 20 Nov 2019
Fair Data Adaptation with Quantile Preservation Drago Plečko N. Meinshausen 98 31 0 15 Nov 2019
What Do Compressed Deep Neural Networks Forget? Sara Hooker Aaron Courville Gregory Clark Yann N. Dauphin Andrea Frome 181 190 0 13 Nov 2019
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness Zhu Li Adrián Pérez-Suay Gustau Camps-Valls Dino Sejdinovic FaML 118 23 0 11 Nov 2019
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness Mohammad Yaghini A. Krause Hoda Heidari FaML 104 22 0 08 Nov 2019
Learning Fair and Interpretable Representations via Linear Orthogonalization Yuzi He Keith Burghardt Kristina Lerman FaML 85 4 0 28 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 547 6,741 0 22 Oct 2019
Optimization Hierarchy for Fair Statistical Decision Problems A. Aswani Matt Olfat 180 3 0 18 Oct 2019
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing Sanghamitra Dutta Dennis L. Wei Hazar Yueksel Pin-Yu Chen Sijia Liu Kush R. Varshney FaML 86 11 0 17 Oct 2019
Conditional Learning of Fair Representations Han Zhao Amanda Coston T. Adel Geoffrey J. Gordon FaML 96 115 0 16 Oct 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability Christopher Frye C. Rowat Ilya Feige 207 195 0 14 Oct 2019
Keeping Designers in the Loop: Communicating Inherent Algorithmic Trade-offs Across Multiple Objectives Bowen Yu Ye Yuan Loren G. Terveen Zhiwei Steven Wu Jodi Forlizzi Haiyi Zhu 88 2 0 07 Oct 2019
Group-based Fair Learning Leads to Counter-intuitive Predictions Ofir Nachum Heinrich Jiang FaML 49 2 0 04 Oct 2019
Generating Fair Universal Representations using Adversarial Models Peter Kairouz Jiachun Liao Chong Huang Maunil R. Vyas Monica Welfert Lalitha Sankar 193 17 0 27 Sep 2019
This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology D. Mulligan Joshua A. Kroll Nitin Kohli Richmond Y. Wong 128 75 0 26 Sep 2019
Fair-by-design explainable models for prediction of recidivism Eduardo Soares Plamen Angelov FaML 64 22 0 18 Sep 2019
Advancing subgroup fairness via sleeping experts Avrim Blum Thodoris Lykouris FedML 72 37 0 18 Sep 2019
A Distributed Fair Machine Learning Framework with Private Demographic Data Protection Hui Hu Yijun Liu Zhen Wang Chao Lan FaML FedML 113 26 0 17 Sep 2019