Publication:
Algorithms and Autonomy: The Ethics of Automated Decision Systems

dc.contributor.author Alan Rubel, Clinton Castro, Adam Pham
dc.date.accessioned 2024-01-17T02:37:08Z
dc.date.available 2024-01-17T02:37:08Z
dc.date.issued 2021
dc.description Publisher: Cambridge University Press ; License: CC-BY-NC-ND ; Source: https://doi.org/10.1017/9781108895057 ; 206 pages
dc.description.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. This book 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
dc.identifier.isbn 9781108895057
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/12080
dc.language.iso en_US
dc.subject Autonomy Basics
dc.subject Reasonable Endorsement
dc.subject Demoting Fake News
dc.subject VAMs
dc.subject Ecological Non-domination
dc.title Algorithms and Autonomy: The Ethics of Automated Decision Systems
dc.type Resource Types::text::book
dspace.entity.type Publication
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
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