The ethics of algorithms: key problems and solutions Article Swipe

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Andreas Tsamados , Nikita Aggarwal , Josh Cowls , Jessica Morley , Huw Roberts , Mariarosaria Taddeo , Luciano Floridi ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1007/s00146-021-01154-8

Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016 (Mittelstadt et al. Big Data Soc 3(2), 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms.

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Normative Key (lock) Computer science Software deployment Corporate governance Information ethics Algorithm Applied ethics Management science Data science Engineering ethics Artificial intelligence Political science Software engineering Engineering Management Law Computer security Economics

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Type: article
Language: en
Landing Page: https://doi.org/10.1007/s00146-021-01154-8
PDF: https://link.springer.com/content/pdf/10.1007/s00146-021-01154-8.pdf
OA Status: hybrid
Cited By: 282
References: 153
Related Works: 10
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DOI: https://doi.org/10.1007/s00146-021-01154-8

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Title: The ethics of algorithms: key problems and solutions

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Type: article

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Language: en

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Publication year: 2021

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Publication date: 2021-02-20

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Authors: Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo, Luciano Floridi

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Landing page: https://doi.org/10.1007/s00146-021-01154-8

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Concepts: Normative, Key (lock), Computer science, Software deployment, Corporate governance, Information ethics, Algorithm, Applied ethics, Management science, Data science, Engineering ethics, Artificial intelligence, Political science, Software engineering, Engineering, Management, Law, Computer security, Economics

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Cited by: 282

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