Vai al contenuto principale della pagina

Algorithms and Autonomy : The ethics of automated decision systems / / Alan Rubel, Clinton Castro, Adam K. Pham



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Rubel Alan Visualizza persona
Titolo: Algorithms and Autonomy : The ethics of automated decision systems / / Alan Rubel, Clinton Castro, Adam K. Pham Visualizza cluster
Pubblicazione: Cambridge, United Kingdom : , : Cambridge University Press, , 2021
Descrizione fisica: 1 online resource (x, 205 pages)
Disciplina: 343.0999
Soggetto topico: Artificial intelligence - Law and legislation
Persona (resp. second.): PhamAdam K.
CastroClinton
Nota di contenuto: 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.
Sommario/riassunto: "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"--Publisher's description.
Altri titoli varianti: Algorithms and Autonomy
Titolo autorizzato: Algorithms and Autonomy  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910687997403321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui