Cambridge University Press (2021)

Authors
Alan Rubel
University of Wisconsin, Madison
Clinton Castro
Florida International University
Abstract
Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work… the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these case studies, the authors provide a better understanding of machine fairness and algorithmic transparency. They explain why interventions in algorithmic systems are necessary to ensure that algorithms are not used to control citizens' participation in politics and undercut democracy. This title is also available as Open Access on Cambridge Core.
Keywords ethics  autonomy  machine ethics  algorithms  automated systems  machine learning ethics  artificial intelligence ethics  technology ethics
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ISBN(s) 9781108795395   1108841813   1108795390
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References found in this work BETA

Just Machines.Clinton Castro - forthcoming - Public Affairs Quarterly.
Algorithms, Agency, and Respect for Persons.Alan Rubel, Clinton Castro & Adam Pham - 2020 - Social Theory and Practice 46 (3):547-572.

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Citations of this work BETA

Just Machines.Clinton Castro - forthcoming - Public Affairs Quarterly.

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What We Informationally Owe Each Other.Alan Rubel, Clinton Castro & Adam Pham - forthcoming - In Algorithms & Autonomy: The Ethics of Automated Decision Systems. Cambridge University Press: Cambridge University Press. pp. 21-42.
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