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pro vyhledávání: '"Shrestha, Hilson"'
Publikováno v:
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 1685-1698)
For applications where multiple stakeholders provide recommendations, a fair consensus ranking must not only ensure that the preferences of rankers are well represented, but must also mitigate disadvantages among socio-demographic groups in the final
Externí odkaz:
http://arxiv.org/abs/2308.06233
Choropleth maps have been studied and extended in many ways to counteract the many biases that can occur when using them. Two recent techniques, Surprise metrics and Value Suppressing Uncertainty Palettes (VSUPs), offer promising solutions but have y
Externí odkaz:
http://arxiv.org/abs/2307.15138
Fair consensus building combines the preferences of multiple rankers into a single consensus ranking, while ensuring any group defined by a protected attribute (such as race or gender) is not disadvantaged compared to other groups. Manually generatin
Externí odkaz:
http://arxiv.org/abs/2207.07765
Akademický článek
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