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 / 884 papers shown

Title
Sample Complexity of Uniform Convergence for MulticalibrationNeural Information Processing Systems (NeurIPS), 2020 Eliran Shabat Lee Cohen Yishay Mansour FaML 118 30 0 04 May 2020
Dimensions of Diversity in Human Perceptions of Algorithmic FairnessConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2020 Nina Grgic-Hlaca Gabriel Lima Adrian Weller Elissa M. Redmiles FaML 87 42 0 02 May 2020
Posterior Calibrated Training on Sentence Classification TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Taehee Jung Luan Tuyen Chau Hua Cheng L. Mentch Thomas Schaaf UQCV 61 13 0 29 Apr 2020
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance WeightingAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Guanhua Zhang Bing Bai Junqi Zhang Kun Bai Conghui Zhu Tiejun Zhao 243 73 0 29 Apr 2020
Learning a Formula of Interpretability to Learn Interpretable Formulas M. Virgolin A. D. Lorenzo Eric Medvet Francesca Randone 101 39 0 23 Apr 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual DatasetsInternational Journal of Computer Vision (IJCV), 2020 Angelina Wang Alexander Liu Ryan Zhang Anat Kleiman Leslie Kim Dora Zhao Iroha Shirai Arvind Narayanan Olga Russakovsky 169 203 0 16 Apr 2020
Poisoning Attacks on Algorithmic Fairness David Solans Battista Biggio Carlos Castillo AAML 131 89 0 15 Apr 2020
Contrastive Examples for Addressing the Tyranny of the Majority V. Sharmanska Lisa Anne Hendricks Trevor Darrell Novi Quadrianto 114 30 0 14 Apr 2020
Individual Fairness in PipelinesSymposium on Foundations of Responsible Computing (FRC), 2020 Cynthia Dwork Christina Ilvento Meena Jagadeesan FaML 122 40 0 12 Apr 2020
FACT: A Diagnostic for Group Fairness Trade-offsInternational Conference on Machine Learning (ICML), 2020 Joon Sik Kim Jiahao Chen Ameet Talwalkar FaML 150 15 0 07 Apr 2020
Abstracting Fairness: Oracles, Metrics, and InterpretabilitySymposium on Foundations of Responsible Computing (FRC), 2020 Cynthia Dwork Christina Ilvento G. Rothblum Pragya Sur FaML 129 8 0 04 Apr 2020
FairALM: Augmented Lagrangian Method for Training Fair Models with Little RegretEuropean Conference on Computer Vision (ECCV), 2020 Vishnu Suresh Lokhande A. K. Akash Sathya Ravi Vikas Singh FaML 112 32 0 03 Apr 2020
Bias in Machine Learning -- What is it Good for? Thomas Hellström Virginia Dignum Suna Bensch AI4CE FaML 49 3 0 01 Apr 2020
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set Philippe C. Besse E. del Barrio Paula Gordaliza Jean-Michel Loubes Laurent Risser FaML 148 75 0 31 Mar 2020
Covariance-Robust Dynamic WatermarkingIEEE Conference on Decision and Control (CDC), 2020 Matt Olfat S. Sloan P. Hespanhol Matthew Porter Ram Vasudevan A. Aswani AAML 106 9 0 31 Mar 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine LearningInternational Conference on Machine Learning (ICML), 2020 Esther Rolf Max Simchowitz Sarah Dean Lydia T. Liu Daniel Björkegren Moritz Hardt J. Blumenstock 94 26 0 15 Mar 2020
Fairness by Explicability and Adversarial SHAP Learning James M. Hickey Pietro G. Di Stefano V. Vasileiou FAtt FedML 195 24 0 11 Mar 2020
Auditing ML Models for Individual Bias and UnfairnessInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Songkai Xue Mikhail Yurochkin Yuekai Sun MLAU 130 29 0 11 Mar 2020
Addressing multiple metrics of group fairness in data-driven decision making M. Miron Songül Tolan Emilia Gómez Carlos Castillo FaML 133 9 0 10 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and EvaluationSIGKDD Explorations (SIGKDD Explor.), 2020 Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 204 236 0 09 Mar 2020
Demographic Bias in Biometrics: A Survey on an Emerging ChallengeIEEE Transactions on Technology and Society (IEEE TTS), 2020 P. Drozdowski Christian Rathgeb A. Dantcheva N. Damer C. Busch FaML 286 229 0 05 Mar 2020
Counterfactual fairness: removing direct effects through regularization Pietro G. Di Stefano James M. Hickey V. Vasileiou FaML 168 22 0 25 Feb 2020
Bandit Learning with Delayed Impact of ActionsNeural Information Processing Systems (NeurIPS), 2020 Wei Tang Chien-Ju Ho Yang Liu 179 14 0 24 Feb 2020
Fair Adversarial Networks G. Cevora 63 4 0 23 Feb 2020
Fair Prediction with Endogenous BehaviorACM Conference on Economics and Computation (EC), 2020 Christopher Jung Sampath Kannan Changhwa Lee Mallesh M. Pai Aaron Roth R. Vohra FaML 81 42 0 18 Feb 2020
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled?Symposium on Foundations of Responsible Computing (FRC), 2020 Claire Lazar Reich Suhas Vijaykumar FaML 186 19 0 18 Feb 2020
Individual Fairness for $k$ -ClusteringInternational Conference on Machine Learning (ICML), 2020 S. Mahabadi A. Vakilian FaML 200 93 0 17 Feb 2020
Convex Fairness Constrained Model Using Causal Effect EstimatorsThe Web Conference (WWW), 2020 Hikaru Ogura Akiko Takeda 53 2 0 16 Feb 2020
Trustworthy AICommunications of the ACM (CACM), 2020 Jeannette M. Wing 111 236 0 14 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiersPacific Symposium on Biocomputing (PSB), 2020 Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 173 336 0 14 Feb 2020
Metric-Free Individual Fairness in Online LearningNeural Information Processing Systems (NeurIPS), 2020 Yahav Bechavod Christopher Jung Zhiwei Steven Wu FaML 260 52 0 13 Feb 2020
Solution manifold and Its Statistical ApplicationsJournal of statistical physics (J. Stat. Phys.), 2018 Swee Hong Chan 171 7 0 13 Feb 2020
To Split or Not to Split: The Impact of Disparate Treatment in ClassificationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020 Hao Wang Hsiang Hsu Mario Díaz Flavio du Pin Calmon 327 24 0 12 Feb 2020
Joint Optimization of AI Fairness and Utility: A Human-Centered ApproachAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020 Yunfeng Zhang Rachel K. E. Bellamy Kush R. Varshney 93 39 0 05 Feb 2020
Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of RecidivismInternational Conference on Human Factors in Computing Systems (CHI), 2020 Keri Mallari K. Quinn Paul Johns Sarah Tan Divya Ramesh Ece Kamar FaML 132 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 91 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 85 14 0 24 Jan 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 169 412 0 21 Jan 2020
Algorithmic Fairness from a Non-ideal PerspectiveAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020 S. Fazelpour Zachary Chase Lipton FaML 105 107 0 08 Jan 2020
On Consequentialism and FairnessFrontiers in Artificial Intelligence (FAI), 2020 Dallas Card Noah A. Smith FaML 144 13 0 02 Jan 2020
Leveraging Semi-Supervised Learning for Fairness using Neural NetworksInternational Conference on Machine Learning and Applications (ICMLA), 2019 Vahid Noroozi S. Bahaadini Samira Sheikhi Nooshin Mojab Philip S. Yu 181 8 0 31 Dec 2019
Teaching Responsible Data Science: Charting New Pedagogical TerritoryInternational Journal of Artificial Intelligence in Education (IJAIED), 2019 Julia Stoyanovich Armanda Lewis 102 39 0 23 Dec 2019
Learning from Discriminatory Training DataAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2019 Przemyslaw A. Grabowicz Nicholas Perello Kenta Takatsu FaML 160 1 0 17 Dec 2019
Measuring Non-Expert Comprehension of Machine Learning Fairness MetricsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2019 Debjani Saha Candice Schumann Duncan C. McElfresh John P. Dickerson Michelle L. Mazurek Michael Carl Tschantz FaML 149 17 0 17 Dec 2019
On the Apparent Conflict Between Individual and Group Fairness Reuben Binns FaML 196 345 0 14 Dec 2019
Measurement and FairnessConference on Fairness, Accountability and Transparency (FAccT), 2019 David Bau Hanna M. Wallach 237 439 0 11 Dec 2019
Value-laden Disciplinary Shifts in Machine Learning Ravit Dotan S. Milli AILaw 96 49 0 03 Dec 2019
Automated Dependence Plots David I. Inouye Liu Leqi Joon Sik Kim Bryon Aragam Pradeep Ravikumar 117 1 0 02 Dec 2019
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?Symposium on Foundations of Responsible Computing (FRC), 2019 Avrim Blum Kevin Stangl FaML 112 93 0 02 Dec 2019
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing InterventionsInternational Conference on Extending Database Technology (EDBT), 2019 Sebastian Schelter Yuxuan He Jatin Khilnani Julia Stoyanovich 81 62 0 28 Nov 2019