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Oct 10, 2022 · A large group of studies goes beyond people's basic understanding of algorithmic fairness and investigates how people's perceptions of fairness are related to different outcome distributions. This is particularly intriguing as some formal fairness definitions cannot coexist ( Kleinberg et al., 2017 ).
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While the degree of perceived trust, fairness, and emotion...
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Apr 1, 2023 · Fairness can be divided into four dimensions: distributive fairness, which covers one's assessment of the allocation of decisions and their outcomes (Colquitt, 2001); procedural fairness, which relates to the fairness of the processes or rules underlying the decision-making process (Thibaut & Walker, 1975); informational fairness, which involves explanations about the procedures and outcomes ...
Apr 1, 2023 · Investigating how transparency concern impacts perceptions of fairness, accountability, and privacy for ADM systems, how these perceptions affect trust and perceived usefulness, and in turn, relate to ADM system acceptance can provide further insights for better designing ADM systems for broader public adoption.
May 31, 2022 · Recent research extended the notion of fairness to include actual inequality effects resulting from algorithmic discrimination in the social context in which it is placed (see section “Data preparation and analysis—from fairness in algorithmic output to fairness in social impact”) and to frame such effects in terms of causal impact (Kasy and Abebe, 2021). To investigate these social ...
Mar 8, 2018 · While the degree of perceived trust, fairness, and emotion was the same between algorithmic and human decisions, the reasons behind people’s perceptions differed. With human-made decisions, participants attributed fairness and trust to managerial authority; with algorithmic decisions, to reliability and the lack of bias.
- Min Kyung Lee
- 2018
Nov 1, 2020 · The goal of this paper is therefore threefold: (1) to gain an initial understanding of citizens’ intuitive perceptions of ADM fairness, and why and under which conditions people are inclined to perceive and accept ADM as fair or unfair in comparison to human decision-makers, (2) to ascertain to what extent the principles and concerns that citizens consider decisive in their judgement of ADM ...
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How does algorithmic fairness affect people's perceptions of ADM?
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How do people perceive fairness based on algorithmic decision-making?
Is the perceived fairness of ADM systems ighlycontext-dependent?
Does perceived fairness affect the satisfaction of algorithms?
Does perceived fairness affect acceptance of ADM?
ness perception had a positive effect on trust in a recommendation made by an algorithm. The. concluded that perceptions of fairness play an essential role in the adoption of algorithms. With regard to using AI in human resources decisions (such as hiring), empirical. wereassociated with lower organizational a.
