Perceptions of Fairness

By Nripsuta Ani Saxena. 2019

8 citations recorded by the source corpus.

Subfields: AI Ethics, Fairness & Society

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In AI Ethics, Fairness & Society

1. Aram Galstyan
2. Fred Morstatter
3. Ninareh Mehrabi
4. Kristina Lerman
5. Nripsuta Ani Saxena

Citations in the corpus

• On The Impact of Machine Learning Randomness on Group Fairness (2023, background): “Group fairness has a diverse set of definitions in the literature, usually chosen based on the stakeholders involved, known even to have opposing behavior in specific settings [38, 45].”
• A Survey on Bias and Fairness in Machine Learning (2019, background): “The fact that no universal definition of fairness exists shows the difficulty of solving this problem [112].”