Inherent Trade-Offs in the Fair Determination of Risk Scores

19 September 2016

Papers citing "Inherent Trade-Offs in the Fair Determination of Risk Scores"

50 / 736 papers shown

Title
Effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia Nathan TeBlunthuis Benjamin Mako Hill Aaron L Halfaker 11 14 0 04 Jun 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs Zuohui Fu Yikun Xian Ruoyuan Gao Jieyu Zhao Qiaoying Huang ... Shuyuan Xu Shijie Geng C. Shah Yongfeng Zhang Gerard de Melo FaML 12 204 0 03 Jun 2020
What's Sex Got To Do With Fair Machine Learning? Lily Hu Issa Kohler-Hausmann FaML 14 80 0 02 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 15 39 0 26 May 2020
Fair Classification via Unconstrained Optimization Ibrahim M. Alabdulmohsin FaML 20 6 0 21 May 2020
Principal Fairness for Human and Algorithmic Decision-Making Kosuke Imai Zhichao Jiang FaML 29 30 0 21 May 2020
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy Bashir Rastegarpanah M. Crovella Krishna P. Gummadi FaML 21 8 0 19 May 2020
Towards classification parity across cohorts Aarsh Patel Rahul Gupta Mukund Sridhar Satyapriya Krishna Aman Alok Peng Liu FaML 30 1 0 16 May 2020
Statistical Equity: A Fairness Classification Objective Ninareh Mehrabi Yuzhong Huang Fred Morstatter FaML 20 10 0 14 May 2020
Cyberbullying Detection with Fairness Constraints O. Gencoglu 19 48 0 09 May 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 152 372 0 09 May 2020
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction Caroline Linjun Wang Bin Han Bhrij Patel Cynthia Rudin FaML HAI 64 84 0 08 May 2020
Ensuring Fairness under Prior Probability Shifts Arpita Biswas Suvam Mukherjee OOD 21 32 0 06 May 2020
Sample Complexity of Uniform Convergence for Multicalibration Eliran Shabat Lee Cohen Yishay Mansour FaML 13 26 0 04 May 2020
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness Nina Grgic-Hlaca Gabriel Lima Adrian Weller Elissa M. Redmiles FaML 20 38 0 02 May 2020
Genetic programming approaches to learning fair classifiers William La Cava J. Moore FaML 19 19 0 28 Apr 2020
Reducing the Filtering Effect in Public School Admissions: A Bias-aware Analysis for Targeted Interventions Yuri Faenza Swati Gupta Aapeli Vuorinen Xuan Zhang 11 1 0 22 Apr 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets Angelina Wang Alexander Liu Ryan Zhang Anat Kleiman Leslie Kim Dora Zhao Iroha Shirai Arvind Narayanan Olga Russakovsky 25 186 0 16 Apr 2020
Contrastive Examples for Addressing the Tyranny of the Majority V. Sharmanska Lisa Anne Hendricks Trevor Darrell Novi Quadrianto 14 29 0 14 Apr 2020
Individual Fairness in Pipelines Cynthia Dwork Christina Ilvento Meena Jagadeesan FaML 14 40 0 12 Apr 2020
FACT: A Diagnostic for Group Fairness Trade-offs Joon Sik Kim Jiahao Chen Ameet Talwalkar FaML 43 15 0 07 Apr 2020
Abstracting Fairness: Oracles, Metrics, and Interpretability Cynthia Dwork Christina Ilvento G. Rothblum Pragya Sur FaML 25 5 0 04 Apr 2020
Bias in Machine Learning -- What is it Good for? Thomas Hellström Virginia Dignum Suna Bensch AI4CE FaML 14 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 22 63 0 31 Mar 2020
Fair inference on error-prone outcomes L. Boeschoten E. V. Kesteren A. Bagheri Daniel L. Oberski 9 2 0 17 Mar 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning Esther Rolf Max Simchowitz Sarah Dean Lydia T. Liu Daniel Björkegren Moritz Hardt J. Blumenstock 6 22 0 15 Mar 2020
Learning Unbiased Representations via Mutual Information Backpropagation R. Ragonesi Riccardo Volpi Jacopo Cavazza Vittorio Murino FaML SSL 6 30 0 13 Mar 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings H. Zhang Amy X. Lu Mohamed Abdalla Matthew B. A. McDermott Marzyeh Ghassemi 10 171 0 11 Mar 2020
Auditing ML Models for Individual Bias and Unfairness Songkai Xue Mikhail Yurochkin Yuekai Sun MLAU 40 23 0 11 Mar 2020
Addressing multiple metrics of group fairness in data-driven decision making M. Miron Songül Tolan Emilia Gómez Carlos Castillo FaML 19 8 0 10 Mar 2020
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints Robin Vogel A. Bellet Stéphan Clémençon FaML 11 12 0 19 Feb 2020
Fair Prediction with Endogenous Behavior Christopher Jung Sampath Kannan Changhwa Lee Mallesh M. Pai Aaron Roth R. Vohra FaML 18 35 0 18 Feb 2020
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled? Claire Lazar Reich Suhas Vijaykumar FaML 22 19 0 18 Feb 2020
Individual Fairness for $k$ -Clustering S. Mahabadi A. Vakilian FaML 24 82 0 17 Feb 2020
Trustworthy AI Jeannette M. Wing 30 215 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 34 284 0 14 Feb 2020
Metric-Free Individual Fairness in Online Learning Yahav Bechavod Christopher Jung Zhiwei Steven Wu FaML 4 49 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 15 23 0 12 Feb 2020
Oblivious Data for Fairness with Kernels Steffen Grunewalder A. Khaleghi 14 6 0 07 Feb 2020
Joint Optimization of AI Fairness and Utility: A Human-Centered Approach Yunfeng Zhang Rachel K. E. Bellamy Kush R. Varshney 22 38 0 05 Feb 2020
Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences Ruotong Wang F. M. Harper Haiyi Zhu FaML 14 180 0 27 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 22 13 0 24 Jan 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 33 386 0 21 Jan 2020
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations Pinkesh Badjatiya Manish Gupta Vasudeva Varma 17 105 0 15 Jan 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 40 51 0 14 Jan 2020
Algorithmic Fairness from a Non-ideal Perspective S. Fazelpour Zachary Chase Lipton FaML 8 100 0 08 Jan 2020
On Consequentialism and Fairness Dallas Card Noah A. Smith FaML 11 11 0 02 Jan 2020
Leveraging Semi-Supervised Learning for Fairness using Neural Networks Vahid Noroozi S. Bahaadini Samira Sheikhi Nooshin Mojab Philip S. Yu 8 7 0 31 Dec 2019
Teaching Responsible Data Science: Charting New Pedagogical Territory Julia Stoyanovich Armanda Lewis 14 37 0 23 Dec 2019
Learning from Discriminatory Training Data Przemyslaw A. Grabowicz Nicholas Perello Kenta Takatsu FaML 20 1 0 17 Dec 2019