Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems

Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems

Algorithmic decision-making has become ubiquitous in our societal and economic lives. With more and more decisions being delegated to algorithms, we have also encountered increasing evidence of ethical issues with respect to biases and lack of fairness pertaining to algorithmic decision-making outco...

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Bibliographic Details
Main Authors: Yash Raj Shrestha, Yongjie Yang
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Algorithms
Subjects:
algorithmic fairness
bias
machine learning
recommender system
algorithmic decision-making
multi-winner-voting
proportional representation
survey
Online Access:https://www.mdpi.com/1999-4893/12/9/199

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https://www.mdpi.com/1999-4893/12/9/199

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