000			02942nam a2200397 i 4500
001			CR9781108895057
003			UkCbUP
005			20240508141511.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			200103s2021||||enk o ||1 0|eng|d
020			_a9781108895057 (ebook)
020			_z9781108841818 (hardback)
020			_z9781108795395 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aK564.C6 _bR829 2021
082	0	0	_a174/.90063 _223
100	1		_aRubel, Alan, _eauthor.
245	1	0	_aAlgorithms and autonomy : _bthe ethics of automated decision systems / _cAlan Rubel, University of Wisconsin-Madison, Clinton Castro, Florida International University, Adam Pham, California Institute of Technology.
264		1	_aCambridge, United Kingdom ; New York, NY : _bCambridge University Press, _c2021.
300			_a1 online resource (x, 205 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 17 May 2021).
505	0		_aIntroduction -- 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.
506			_aOpen Access title.
520			_aAlgorithms 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.
650		0	_aArtificial intelligence _xLaw and legislation _xMoral and ethical aspects.
650		0	_aExpert systems (Computer science) _xMoral and ethical aspects.
650		0	_aDecision support systems _xMoral and ethical aspects.
700	1		_aCastro, Clinton, _eauthor.
700	1		_aPham, Adam K., _eauthor.
776	0	8	_iPrint version: _z9781108841818
856	4	0	_uhttps://doi.org/10.1017/9781108895057
999			_c38261 _d38261