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
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets Gonzalo Nápoles Lisa Koutsoviti Koumeri 43 17 0 20 Aug 2021
Understanding and Mitigating Annotation Bias in Facial Expression Recognition Yunliang Chen Jungseock Joo CVBM 81 86 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 51 26 0 14 Aug 2021
Fairness Through Counterfactual Utilities Jack Blandin Ian A. Kash FaML 76 2 0 11 Aug 2021
Retiring Adult: New Datasets for Fair Machine Learning Frances Ding Moritz Hardt John Miller Ludwig Schmidt 233 463 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 105 23 0 20 Jul 2021
Diversity in Sociotechnical Machine Learning Systems S. Fazelpour Maria De-Arteaga 88 38 0 19 Jul 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 203 129 0 16 Jul 2021
On the impossibility of non-trivial accuracy under fairness constraints Carlos Pinzón C. Palamidessi Pablo Piantanida Frank D. Valencia FaML 80 1 0 14 Jul 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial Yang Liu Jialu Wang NoLa 98 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 192 212 0 12 Jul 2021
Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness Ben Green FaML 171 39 0 09 Jul 2021
Multiaccurate Proxies for Downstream Fairness Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth Saeed Sharifi-Malvajerdi 80 22 0 09 Jul 2021
Fair Decision Rules for Binary Classification Connor Lawless Oktay Gunluk FaML 50 6 0 03 Jul 2021
The Price of Diversity H. Bandi Dimitris Bertsimas 36 0 0 03 Jul 2021
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions Mukund Telukunta Venkata Sriram Siddhardh Nadendla 43 0 0 29 Jun 2021
"Part Man, Part Machine, All Cop": Automation in Policing Angelika Adensamer Lukas Daniel Klausner 25 8 0 24 Jun 2021
A Unified Approach to Fair Online Learning via Blackwell Approachability Evgenii Chzhen Christophe Giraud Gilles Stoltz FaML 35 11 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 68 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 77 19 0 17 Jun 2021
Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy Falaah Arif Khan Eleni Manis Julia Stoyanovich FaML 44 10 0 15 Jun 2021
Characterizing the risk of fairwashing Ulrich Aïvodji Hiromi Arai Sébastien Gambs Satoshi Hara 92 28 0 14 Jun 2021
Assessing Multilingual Fairness in Pre-trained Multimodal Representations Jialu Wang Yang Liu Xinze Wang EGVM 102 37 0 12 Jun 2021
Probability Paths and the Structure of Predictions over Time Zhiyuan Jerry Lin Hao Sheng Sharad Goel 40 2 0 11 Jun 2021
Fair Classification with Adversarial Perturbations L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 60 32 0 10 Jun 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 90 20 0 07 Jun 2021
FairCal: Fairness Calibration for Face Verification Tiago Salvador Stephanie Cairns Vikram S. Voleti Noah Marshall Adam M. Oberman FaML 90 19 0 07 Jun 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models Ibrahim Alabdulmohsin Mario Lucic 58 22 0 06 Jun 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 146 117 0 02 Jun 2021
Testing Group Fairness via Optimal Transport Projections Nian Si Karthyek Murthy Jose H. Blanchet Viet Anh Nguyen 80 32 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 59 192 0 01 Jun 2021
Model Mis-specification and Algorithmic Bias Runshan Fu Yang Liang Peter Zhang 27 0 0 31 May 2021
Multi-group Agnostic PAC Learnability G. Rothblum G. Yona FaML 134 39 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 90 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 41 30 0 18 May 2021
Cohort Shapley value for algorithmic fairness Masayoshi Mase Art B. Owen Benjamin B. Seiler 112 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 123 9 0 13 May 2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings Hemank Lamba Kit T. Rodolfa Rayid Ghani OffRL 58 17 0 13 May 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification Haochen Liu Wei Jin Hamid Karimi Zitao Liu Jiliang Tang 54 32 0 06 May 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 124 2 0 21 Apr 2021
Implementing Fair Regression In The Real World Boris Ruf Marcin Detyniecki 41 1 0 09 Apr 2021
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing Mohammad Mahdi Kamani R. Forsati Jianmin Wang M. Mahdavi FaML 96 11 0 04 Apr 2021
fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation Jakub Wi'sniewski P. Biecek 62 19 0 01 Apr 2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles Robik Shrestha Jinkyu Lee Kushal Kafle S. Hwang Il Yong Chun 79 1 0 01 Apr 2021
Strong Optimal Classification Trees S. Aghaei Andrés Gómez P. Vayanos 70 42 0 29 Mar 2021
Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature C. Starke Janine Baleis Birte Keller Frank Marcinkowski FaML 68 154 0 22 Mar 2021
Gender and Racial Fairness in Depression Research using Social Media Carlos Alejandro Aguirre Keith Harrigian Mark Dredze 122 38 0 18 Mar 2021
Hidden Technical Debts for Fair Machine Learning in Financial Services Chong Huang Arash Nourian Kevin Griest FaML 28 2 0 18 Mar 2021
Fairness-aware Outlier Ensemble Haoyu Liu Fenglong Ma Shibo He Jiming Chen Jing Gao 44 3 0 17 Mar 2021
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations Marzieh Karimi-Haghighi Carlos Castillo Davinia Hernández Leo Verónica Moreno Oliver FaML 53 6 0 16 Mar 2021