The Ethics of Algorithms: Key Problems and Solutions
37 AI & Society 215 (2021) (published version available at https://doi.org/10.1007/s00146-021-01154-8)
35 Pages Posted: 8 Sep 2020 Last revised: 28 Mar 2023
Date Written: July 28, 2020
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. 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.
Keywords: Algorithm, Artificial Intelligence, Autonomy, Digital Ethics, Explainability, Fairness, Machine Learning, Privacy, Responsibility, Transparency, Trust
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