Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction

26 February 2018

Papers citing "Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction"

22 / 72 papers shown

Title
How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt Gabriel Kaptchuk D. Goldstein E. Hargittai Jake M. Hofman Elissa M. Redmiles 14 86 0 09 May 2020
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness Nina Grgic-Hlaca Gabriel Lima Adrian Weller Elissa M. Redmiles FaML 15 37 0 02 May 2020
Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences Ruotong Wang F. M. Harper Haiyi Zhu FaML 12 179 0 27 Jan 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 24 387 0 21 Jan 2020
Algorithmic Fairness from a Non-ideal Perspective S. Fazelpour Zachary Chase Lipton FaML 6 100 0 08 Jan 2020
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 21 16 0 17 Dec 2019
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness Mohammad Yaghini A. Krause Hoda Heidari FaML 11 22 0 08 Nov 2019
Unfairness towards subjective opinions in Machine Learning Agathe Balayn A. Bozzon Zoltán Szlávik FaML 19 1 0 06 Nov 2019
Methodological Blind Spots in Machine Learning Fairness: Lessons from the Philosophy of Science and Computer Science Samuel Deng Achille C. Varzi FaML 11 1 0 31 Oct 2019
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers Ananth Balashankar Alyssa Lees Chris Welty L. Subramanian 6 21 0 30 Oct 2019
Fair Generative Modeling via Weak Supervision Kristy Choi Aditya Grover Trisha Singh Rui Shu Stefano Ermon 28 134 0 26 Oct 2019
Learning Model-Agnostic Counterfactual Explanations for Tabular Data Martin Pawelczyk Johannes Haug Klaus Broelemann Gjergji Kasneci OOD CML 25 199 0 21 Oct 2019
Fairness and Missing Values Fernando Martínez-Plumed Cesar Ferri David Nieves José Hernández-Orallo 8 28 0 29 May 2019
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment Jonathan Dodge Q. V. Liao Yunfeng Zhang Rachel K. E. Bellamy Casey Dugan FaML 14 124 0 23 Jan 2019
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness N. Saxena Karen Huang Evan DeFilippis Goran Radanović David C. Parkes Y. Liu FaML 11 174 0 08 Nov 2018
Discovering Fair Representations in the Data Domain Novi Quadrianto V. Sharmanska Oliver Thomas 16 3 0 15 Oct 2018
Actionable Recourse in Linear Classification Berk Ustun Alexander Spangher Yang Liu FaML 14 539 0 18 Sep 2018
Investigating Human + Machine Complementarity for Recidivism Predictions S. Tan Julius Adebayo K. Quinn Ece Kamar FaML 11 54 0 28 Aug 2018
The Disparate Effects of Strategic Manipulation Lily Hu Nicole Immorlica Jennifer Wortman Vaughan 16 163 0 27 Aug 2018
"Should I Worry?" A Cross-Cultural Examination of Account Security Incident Response Elissa M. Redmiles 14 43 0 24 Aug 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 44 301 0 15 Jun 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016