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    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2022
    In:  Philosophy & Technology Vol. 35, No. 1 ( 2022-03)
    In: Philosophy & Technology, Springer Science and Business Media LLC, Vol. 35, No. 1 ( 2022-03)
    Abstract: Departing from the claim that AI needs to be trustworthy, we find that ethical advice from an AI-powered algorithm is trusted even when its users know nothing about its training data and when they learn information about it that warrants distrust. We conducted online experiments where the subjects took the role of decision-makers who received advice from an algorithm on how to deal with an ethical dilemma. We manipulated the information about the algorithm and studied its influence. Our findings suggest that AI is overtrusted rather than distrusted. We suggest digital literacy as a potential remedy to ensure the responsible use of AI.
    Type of Medium: Online Resource
    ISSN: 2210-5433 , 2210-5441
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2573482-9
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