Distrust of Artificial Intelligence: Sources & Responses from Computer Science & Law

نویسندگان

چکیده

Abstract Social distrust of AI stems in part from incomplete and faulty data sources, inappropriate redeployment data, frequently exposed errors that reflect amplify existing social cleavages failures, such as racial gender biases. Other sources include the lack “ground truth” against which to measure results learned algorithms, divergence interests between those affected designing tools, invasion individual privacy, inapplicability measures transparency participation build trust other institutions. Needed steps increase systems involvement broader diverse stakeholders decisions around selection uses, predictors; investment methods recourse for bias commensurate with risks bias; regulation prompting competition trust.

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ژورنال

عنوان ژورنال: Daedalus

سال: 2022

ISSN: ['1548-6192', '0011-5266']

DOI: https://doi.org/10.1162/daed_a_01918