Algorithms and autonomy : the ethics of automated decision systems /
Rubel, Alan,
Algorithms and autonomy : the ethics of automated decision systems / Alan Rubel, University of Wisconsin-Madison, Clinton Castro, Florida International University, Adam Pham, California Institute of Technology. - 1 online resource (x, 205 pages) : digital, PDF file(s).
Title from publisher's bibliographic system (viewed on 17 May 2021).
Introduction -- Autonomy, agency, and responsibility -- What can agents reasonably endorse? -- What we informationally owe each other -- Freedom, agency, and information technology -- Epistemic paternalism and social media -- Agency laundering and information technologies -- Democratic obligations and technological threats to legitimacy -- Conclusions and caveats.
Open Access title.
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.
9781108895057 (ebook)
Artificial intelligence--Law and legislation--Moral and ethical aspects.
Expert systems (Computer science)--Moral and ethical aspects.
Decision support systems--Moral and ethical aspects.
K564.C6 / R829 2021
174/.90063
Algorithms and autonomy : the ethics of automated decision systems / Alan Rubel, University of Wisconsin-Madison, Clinton Castro, Florida International University, Adam Pham, California Institute of Technology. - 1 online resource (x, 205 pages) : digital, PDF file(s).
Title from publisher's bibliographic system (viewed on 17 May 2021).
Introduction -- Autonomy, agency, and responsibility -- What can agents reasonably endorse? -- What we informationally owe each other -- Freedom, agency, and information technology -- Epistemic paternalism and social media -- Agency laundering and information technologies -- Democratic obligations and technological threats to legitimacy -- Conclusions and caveats.
Open Access title.
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.
9781108895057 (ebook)
Artificial intelligence--Law and legislation--Moral and ethical aspects.
Expert systems (Computer science)--Moral and ethical aspects.
Decision support systems--Moral and ethical aspects.
K564.C6 / R829 2021
174/.90063