Algorithms and autonomy: the ethics of automated decision systems

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

Objekttext:

Alan Rubel, University of Wisconsin-Madison, Clinton Castro, Florida International University, Adam Pham, California Institute of Technology
Title from publisher's bibliographic system (viewed on 17 May 2021)

Zugriff und Nutzungsmöglichkeiten

Zitierlink:

https://gotha.digital/item/1760798843

Links:

discovery.uni-erfurt.de/id:1760798843

opac.k10plus.de/DB=2.1/PPNSET

Administrative Angaben

Datensatz angelegt am:

2023-04-13

Zuletzt geändert am:

2022-09-20

In Portal übernommen am:

2023-04-13

Feedback

Unsere Datensätze befinden sich in stetiger Weiterentwicklung. Wenn Sie zusätzliche Informationen zu diesem Objekt oder einen Fehler entdeckt haben, dann schreiben Sie uns. Informationen zum Datenschutz

Menu