On the Apparent Conflict Between Individual and Group Fairness

14 December 2019

Reuben Binns

Papers citing "On the Apparent Conflict Between Individual and Group Fairness"

23 / 123 papers shown

Title
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
FiSH: Fair Spatial Hotspots Deepak P Sowmya S. Sundaram 67 1 0 01 Jun 2021
Fairly Private Through Group Tagging and Relation Impact Poushali Sengupta Subhankar Mishra 66 0 0 15 May 2021
End-To-End Bias Mitigation: Removing Gender Bias in Deep Learning Tal Feldman Ashley Peake FaML 63 14 0 06 Apr 2021
fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation Jakub Wi'sniewski P. Biecek 62 19 0 01 Apr 2021
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity David Liu Zohair Shafi W. Fleisher Tina Eliassi-Rad Scott Alfeld 47 9 0 16 Mar 2021
Evaluating Robustness of Counterfactual Explanations André Artelt Valerie Vaquet Riza Velioglu Fabian Hinder Johannes Brinkrolf M. Schilling Barbara Hammer 128 46 0 03 Mar 2021
On Meritocracy in Optimal Set Selection Thomas Kleine Buening Meirav Segal D. Basu Christos Dimitrakakis Anne-Marie George 33 2 0 23 Feb 2021
BeFair: Addressing Fairness in the Banking Sector Alessandro Castelnovo Riccardo Crupi Giulia Del Gamba Greta Greco A. Naseer D. Regoli Beatriz San Miguel González FaML 48 16 0 03 Feb 2021
Design and Appropriation of Computer-supported Self-scheduling Practices in Healthcare Shift Work Alarith Uhde Matthias Laschke Marc Hassenzahl 13 12 0 03 Feb 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 172 55 0 05 Jan 2021
Genetic Adversarial Training of Decision Trees Francesco Ranzato Marco Zanella 39 15 0 21 Dec 2020
Making ML models fairer through explanations: the case of LimeOut Guilherme Alves Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 24 7 0 01 Nov 2020
The Pursuit of Algorithmic Fairness: On "Correcting" Algorithmic Unfairness in a Child Welfare Reunification Success Classifier Jordan Purdy B. Glass FaML 49 5 0 22 Oct 2020
Causal Multi-Level Fairness Vishwali Mhasawade R. Chunara 62 27 0 14 Oct 2020
Local Connectivity in Centroid Clustering Deepak P 13 1 0 11 Oct 2020
Representativity Fairness in Clustering Deepak P Savitha Sam Abraham FaML 34 14 0 11 Oct 2020
On the Problem of Underranking in Group-Fair Ranking Sruthi Gorantla Amit Deshpande Anand Louis FaML 53 3 0 24 Sep 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen Pfohl Agata Foryciarz N. Shah FaML 120 113 0 20 Jul 2020
Machine learning fairness notions: Bridging the gap with real-world applications K. Makhlouf Sami Zhioua C. Palamidessi FaML 68 55 0 30 Jun 2020
Fair Performance Metric Elicitation Gaurush Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 75 18 0 23 Jun 2020
LimeOut: An Ensemble Approach To Improve Process Fairness Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 66 21 0 17 Jun 2020
Group Fairness in Bandit Arm Selection Candice Schumann Zhi Lang Nicholas Mattei John P. Dickerson FaML 90 15 0 09 Dec 2019