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
Leveraging Expert Consistency to Improve Algorithmic Decision Support Maria De-Arteaga Vincent Jeanselme A. Dubrawski Alexandra Chouldechova 320 22 0 24 Jan 2021
Distilling Interpretable Models into Human-Readable Code Walker Ravina Ethan Sterling Olexiy Oryeshko Nathan Bell Honglei Zhuang Xuanhui Wang Yonghui Wu Alexander Grushetsky 123 2 0 21 Jan 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 223 30 0 18 Jan 2021
Deep Cox Mixtures for Survival RegressionMachine Learning in Health Care (MLHC), 2021 Chirag Nagpal Steve Yadlowsky Negar Rostamzadeh Katherine A. Heller CML 345 73 0 16 Jan 2021
Online Multivalid Learning: Means, Moments, and Prediction IntervalsInformation Technology Convergence and Services (ITCS), 2021 Varun Gupta Christopher Jung Georgy Noarov Mallesh M. Pai Aaron Roth 161 45 0 05 Jan 2021
Fair Training of Decision Tree Classifiers Francesco Ranzato Caterina Urban Marco Zanella FaML 82 12 0 04 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 523 529 0 31 Dec 2020
Provably Training Overparameterized Neural Network Classifiers with Non-convex ConstraintsElectronic Journal of Statistics (EJS), 2020 You-Lin Chen Zhaoran Wang Mladen Kolar 149 0 0 30 Dec 2020
A Maximal Correlation Approach to Imposing Fairness in Machine LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Joshua K. Lee Yuheng Bu P. Sattigeri Yikang Shen G. Wornell Leonid Karlinsky Rogerio Feris FaML 99 17 0 30 Dec 2020
BENN: Bias Estimation Using Deep Neural Network Amit Giloni Edita Grolman Tanja Hagemann Ronald Fromm Sebastian Fischer Yuval Elovici A. Shabtai 104 2 0 23 Dec 2020
Fair for All: Best-effort Fairness Guarantees for ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 A. Krishnaswamy Zhihao Jiang Kangning Wang Yu Cheng Kamesh Munagala FaML 367 10 0 18 Dec 2020
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 190 21 0 17 Dec 2020
A Statistical Test for Probabilistic Fairness Bahar Taşkesen Jose H. Blanchet Daniel Kuhn Viet Anh Nguyen FaML 170 47 0 09 Dec 2020
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives Angie Peng Jeffrey Naecker B. Hutchinson A. Smart Nyalleng Moorosi 75 0 0 08 Dec 2020
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policyNature Machine Intelligence (NMI), 2020 Kit T. Rodolfa Hemank Lamba Rayid Ghani 182 102 0 05 Dec 2020
Rethinking recidivism through a causal lens Vik Shirvaikar C. Lakshminarayan CML 153 0 0 19 Nov 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using UncertaintyAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020 Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 243 279 0 15 Nov 2020
FairLens: Auditing Black-box Clinical Decision Support Systems Cecilia Panigutti Alan Perotti Andre' Panisson P. Bajardi D. Pedreschi 128 72 0 08 Nov 2020
Fair Machine Learning Under Partial Compliance Jessica Dai S. Fazelpour Zachary Chase Lipton 107 11 0 07 Nov 2020
Does enforcing fairness mitigate biases caused by subpopulation shift? Subha Maity Debarghya Mukherjee Mikhail Yurochkin Yuekai Sun 227 28 0 06 Nov 2020
Debiasing classifiers: is reality at variance with expectation? Ashrya Agrawal Florian Pfisterer J. Herbinger Francois Buet-Golfouse Srijan Sood Jiahao Chen Sameena Shah Sebastian J. Vollmer CML FaML 176 19 0 04 Nov 2020
Quadratic Metric Elicitation for Fairness and Beyond Gaurush Hiranandani Jatin Mathur Harikrishna Narasimhan Oluwasanmi Koyejo 301 5 0 03 Nov 2020
Making ML models fairer through explanations: the case of LimeOutInternational Joint Conference on the Analysis of Images, Social Networks and Texts (AISNT), 2020 Guilherme Alves Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 73 7 0 01 Nov 2020
Fair Classification with Group-Dependent Label NoiseConference on Fairness, Accountability and Transparency (FAccT), 2020 Jialu Wang Yang Liu Caleb C. Levy NoLa 254 107 0 31 Oct 2020
Linear Classifiers that Encourage Constructive Adaptation Yatong Chen Jialu Wang Yang Liu 268 18 0 31 Oct 2020
Gender Bias in Depression Detection Using Audio FeaturesEuropean Signal Processing Conference (EUSIPCO), 2020 A. Bailey Mark D. Plumbley 136 75 0 28 Oct 2020
The Pursuit of Algorithmic Fairness: On "Correcting" Algorithmic Unfairness in a Child Welfare Reunification Success Classifier Jordan Purdy B. Glass FaML 97 8 0 22 Oct 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data Lingkai Kong Haoming Jiang Yuchen Zhuang Jie Lyu T. Zhao Chao Zhang OODD 136 25 0 22 Oct 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian InferenceNeural Information Processing Systems (NeurIPS), 2020 Disi Ji Padhraic Smyth M. Steyvers 145 51 0 19 Oct 2020
Survey on Causal-based Machine Learning Fairness Notions K. Makhlouf Sami Zhioua C. Palamidessi FaML 406 97 0 19 Oct 2020
Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice Andrii Babii Xi Chen Eric Ghysels Rohit Kumar FaML 296 9 0 16 Oct 2020
Causal Multi-Level Fairness Vishwali Mhasawade R. Chunara 151 28 0 14 Oct 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 443 425 0 14 Oct 2020
Equitable Allocation of Healthcare Resources with Fair Cox Models Kamrun Naher Keya Rashidul Islam Shimei Pan I. Stockwell James R. Foulds 71 11 0 14 Oct 2020
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 413 91 0 13 Oct 2020
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches Sonia Baee Mark Rucker Anna N. Baglione Mawulolo K. Ameko Laura E. Barnes 43 3 0 12 Oct 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 240 63 0 12 Oct 2020
CryptoCredit: Securely Training Fair ModelsInternational Conference on AI in Finance (ICAIF), 2020 Leo de Castro Jiahao Chen Antigoni Polychroniadou 92 3 0 09 Oct 2020
Towards Self-Regulating AI: Challenges and Opportunities of AI Model Governance in Financial ServicesInternational Conference on AI in Finance (ICAIF), 2020 Eren Kurshan Hongda Shen Jiahao Chen AIFin 111 31 0 09 Oct 2020
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms Gareth Jones James M. Hickey Pietro G. Di Stefano C. Dhanjal Laura C. Stoddart V. Vasileiou FaML 82 21 0 08 Oct 2020
Fairness Perception from a Network-Centric Perspective Farzan Masrour P. Tan A. Esfahanian FaML 65 2 0 07 Oct 2020
Fairness in Machine Learning: A SurveyACM Computing Surveys (ACM CSUR), 2020 Simon Caton C. Haas FaML 377 763 0 04 Oct 2020
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided MarketsInternational Conference on the Theory of Information Retrieval (ICTIR), 2020 Lequn Wang Thorsten Joachims FaML 202 66 0 04 Oct 2020
Measure Utility, Gain Trust: Practical Advice for XAI Researcher B. Pierson M. Glenski William I. N. Sealy Dustin L. Arendt 115 29 0 27 Sep 2020
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce DiscriminationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Tao Zhang Tianqing Zhu Jing Li Mengde Han Wanlei Zhou Philip S. Yu FaML 131 56 0 25 Sep 2020
Legally grounded fairness objectives Dylan Holden-Sim Gavin Leech Laurence Aitchison AILaw FaML 82 0 0 24 Sep 2020
Probabilistic Machine Learning for HealthcareAnnual Review of Biomedical Data Science (ARBDS), 2020 Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath OOD 169 62 0 23 Sep 2020
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data Catherine Ordun Edward Raff S. Purushotham 88 17 0 22 Sep 2020
Group Fairness by Probabilistic Modeling with Latent Fair DecisionsAAAI Conference on Artificial Intelligence (AAAI), 2020 YooJung Choi Meihua Dang Karen Ullrich FaML 159 39 0 18 Sep 2020
FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition Tomás Sixta Julio C. S. Jacques Junior Pau Buch-Cardona Neil M. Robertson E. Vazquez Sergio Escalera CVBM 174 35 0 16 Sep 2020