Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation
When evaluating automated systems, some users apply the “positive machine heuristic” (i.e. machines are more accurate and precise than humans), whereas others apply the “negative machine heuristic” (i.e. machines lack the ability to make nuanced subjective judgments), but we do not know much about the characteristics that predict whether a user would apply the positive or negative machine heuristic. We conducted a study in the context of content moderation and discovered that individual differences relating to trust in humans, fear of artificial intelligence (AI), power usage, and political ideology can predict whether a user will invoke the positive or negative machine heuristic. For example, users who distrust other humans tend to be more positive toward machines. Our findings advance theoretical understanding of user responses to AI systems for content moderation and hold practical implications for the design of interfaces to appeal to users who are differentially predisposed toward trusting machines over humans.
María D. Molina et al, Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation, New Media & Society (, ) pp. 146144482211035. Copyright © 2022. DOI: 10.1177/14614448221103534. Users who receive access to an article through a repository are reminded that the article is protected by copyright and reuse is restricted to non-commercial and no derivative uses. Users may also download and save a local copy of an article accessed in an institutional repository for the user's personal reference. For permission to reuse an article, please follow our Process for Requesting Permission.
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Work Title | Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation |
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License | In Copyright (Rights Reserved) |
Work Type | Article |
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Publication Date | June 23, 2022 |
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Deposited | October 14, 2024 |
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