Automating anticorruption?

نویسندگان

چکیده

Abstract The paper explores some normative challenges concerning the integration of Machine Learning (ML) algorithms into anticorruption in public institutions. emerge from tensions between an approach treating ML as allies to exclusively legalistic conception and seeing them within institutional ethics office accountability. We explore two main challenges. One concerns variable opacity algorithms, which may affect officeholders’ capacity account for processes relying upon techniques. other pinpoints risk that automating certain weaken direct engagement take forward-looking responsibility working their institution. discuss why both matter see how enhance (and not hinder) answerability practices.

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ژورنال

عنوان ژورنال: Ethics and Information Technology

سال: 2022

ISSN: ['1388-1957', '1572-8439']

DOI: https://doi.org/10.1007/s10676-022-09670-x