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Nov 25, 2018 · Abstract:Quantitative definitions of what is unfair and what is fair have been introduced in multiple disciplines for well over 50 years, ...
Jan 29, 2019 · Quantitative definitions of what is unfair and what is fair have been introduced in multiple disciplines for well over 50 years, ...
Dec 3, 2018 · ABSTRACT. Quantitative definitions of what is unfair and what is fair have been introduced in multiple disciplines for well over 50 years, ...
50 Years of Test (Un)fairness: Lessons for Machine Learning
www.semanticscholar.org › paper › 50-Y...
This work traces how the notion of fairness has been defined within the testing communities of education and hiring over the past half century, ...
Quantitative definitions of what is unfair and what is fair have been introduced in multiple disciplines for well over 50 years, including in education, ...
Dec 10, 2019 · ✓ Can ML models be judged as fair or unfair independent of a specific use? ✓ The switch from measuring unfairness to measuring fairness caused ...
Vertesi. 50 Years of Test (Un)fairness: Lessons for Machine Learning. Ben Hutchinson, Margaret Mitchell. A comparative study of fairness-enhancing ...
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Jan 29, 2019 · Quantitative definitions of what is unfair and what is fair have been introduced in multiple disciplines for well over 50 years, including in ...
Mar 18, 2021 · 50 Years of Test (Un)fairness: Lessons for Machine Learning. We compare past and current notions of fairness along several dimensions ...
A curated list of awesome Fairness in AI resources - GitHub
github.com › datamllab › awesome-fairn...
Beyond Parity: Fairness Objectives for Collaborative Filtering · 50 Years of Test (Un)fairness: Lessons for Machine Learning · Fairness Definitions Explained ...