A Conceptual Framework for Ethical Evaluation of Machine Learning
Systems

A Conceptual Framework for Ethical Evaluation of Machine Learning Systems

5 August 2024

Jessica Hullman

Hari Subramonyam

Papers citing "A Conceptual Framework for Ethical Evaluation of Machine Learning Systems"

11 / 11 papers shown

Title
Evaluation Gaps in Machine Learning Practice Ben Hutchinson Negar Rostamzadeh Christina Greer Katherine A. Heller Vinodkumar Prabhakaran ELM 71 59 0 11 May 2022
Equity and Privacy: More Than Just a Tradeoff David Pujol Ashwin Machanavajjhala 47 15 0 08 Nov 2021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development Aspen K. Hopkins Serena Booth 74 46 0 06 Oct 2021
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making Alex Chohlas-Wood Madison Coots Henry Zhu Emma Brunskill Sharad Goel FaML 46 24 0 18 Sep 2021
Demystifying the Draft EU Artificial Intelligence Act Michael Veale Frederik J. Zuiderveen Borgesius 63 353 0 08 Jul 2021
Software Engineering for AI-Based Systems: A Survey Silverio Martínez-Fernández Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna Maria Vollmer Stefan Wagner 57 219 0 05 May 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston Ashesh Rambachan Alexandra Chouldechova FaML 72 85 0 02 Jan 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 158 125 0 24 Oct 2020
Quantifying the Carbon Emissions of Machine Learning Alexandre Lacoste A. Luccioni Victor Schmidt Thomas Dandres 88 703 0 21 Oct 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 69 750 0 19 Jun 2019
Crowdsourcing with Fairness, Diversity and Budget Constraints Naman Goel Boi Faltings FaML 75 20 0 31 Oct 2018