A Human-in-the-loop Framework to Construct Context-aware Mathematical
Notions of Outcome Fairness

A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness

8 November 2019

Mohammad Yaghini

Hoda Heidari

Papers citing "A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness"

6 / 6 papers shown

Title
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 48 4 0 29 Apr 2024
Achievement and Fragility of Long-term Equitability Andrea Simonetto Ivano Notarnicola 18 1 0 24 Jun 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 40 11 0 13 May 2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers Mukund Telukunta Venkata Sriram Siddhardh Nadendla MLAU FaML 20 0 0 16 Feb 2022
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 195 742 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016