Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users’ perceptions of fairness toward an algorithmic system
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DOI: 10.1007/s10676-022-09623-4
Abstract: In light of the widespread use of algorithmic (intelligent) systems across numerous domains, there is an increasing awareness about the need to explain their underlying decision-making process and resulting outcomes. Since oftentimes these systems are… read more here.
Keywords: system; fairness perception; different explanation; explanation styles ... See more keywords