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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.
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.
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