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Fairness measure

Known as: Fairness index, Fairness (communications), Fairly shared spectrum efficiency 
Fairness measures or metrics are used in network engineering to determine whether users or applications are receiving a fair share of system… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
An increasing number of decisions regarding the daily lives of human beings are being controlled by artificial intelligence (AI… Expand
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Review
2019
Review
2019
This paper provides a comprehensive survey of Machine Learning Testing (ML testing) research. It covers 144 papers on testing… Expand
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Review
2019
Review
2019
A theory of system justification was proposed 25 years ago by Jost and Banaji (1994, Br. J. Soc. Psychol., 33, 1) in the British… Expand
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Review
2019
Review
2019
The evolving explosion in high data rate services and applications will soon require the use of untapped, abundant unregulated… Expand
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Review
2019
Review
2019
Game theory (GT) has been used with significant success to formulate, and either design or optimize, the operation of many… Expand
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Review
2019
Review
2019
The potential for machine learning (ML) systems to amplify social inequities and unfairness is receiving increasing popular and… Expand
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Review
2018
Review
2018
There has recently been a surge of work in explanatory artificial intelligence (XAI). This research area tackles the important… Expand
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Review
2018
Review
2018
Rating platforms enable large-scale collection of user opinion about items(e.g., products or other users). However, untrustworthy… Expand
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Review
2018
Review
2018
The nascent field of fair machine learning aims to ensure that decisions guided by algorithms are equitable. Over the last… Expand
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Review
2018
Review
2018
Fairness is an increasingly important concern as machine learning models are used to support decision making in high-stakes… Expand
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