An Empirical Examination of the Evaluative AI Framework

Explanations can improve subjective perception (Bertrand et al., 2023), In recent years, AI has gained substantial attention for but also might increase cognitive load (Ghai et al., their increasingly sophisticated performance in various 2020; Herm, 2023; You et al., 2022) and reduce efficiency applications (Albrecht, 2016; Barredo Arrieta et al., (Lai et al., 2023b). This has led to a situation 2020; MacCarthy, 2019; Rong et al., 2022). However, where users often engage superficially with explanations their significant limitation compared to simpler methods and develop an overreliance on AI (Bansal et al., is their commonly opaque "black box" nature, 2021; Buçinca et al., 2021; Chen et al., 2023; Chromik making it difficult to understand how inputs generate et al., 2021), shifting from the original problem of underreliance.