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Algorithmic governance and governance of algorithms : legal and ethical challenges / / Martin Ebers; Marta Cantero Gamito



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Titolo: Algorithmic governance and governance of algorithms : legal and ethical challenges / / Martin Ebers; Marta Cantero Gamito Visualizza cluster
Pubblicazione: Cham, Switzerland : , : Springer, , [2021]
©2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (IX, 167 p. 3 illus., 1 illus. in color.)
Disciplina: 343.0999
Soggetto topico: Artificial intelligence - Law and legislation
Persona (resp. second.): EbersMartin <1970->
Cantero GamitoMarta
Nota di contenuto: Algorithmic Governance and Governance of Algorithms: An Introduction -- Privacy, Non-Discrimination and Equal Treatment: Developing a Fundamental Rights Response to Behavioural Profiling -- The Black Box on Trial: The Impact of Algorithmic Opacity on Fair Trial Rights in Criminal Proceedings -- Microchipping Employees: Unlawful Monitoring Practice or a New Trend in the Workplace? -- Electronic Personhood: A Tertium Genus for Smart Autonomous Surgical Robots? -- Online Behavioural Advertising and Unfair Manipulation Between the GDPR and the UCPD -- Protecting Deep Learning: Could the New EU-Trade Secrets Directive Be an Option for the Legal Protection of Artificial Neural Networks? -- Chinese Copyright Law and Computer-Generated Works in the Era of Artificial Intelligence.
Sommario/riassunto: Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole (“algorithmic governance”), which could potentially lead to manipulation, biases, censorship, social discrimination, violations of privacy, property rights, and more. This has sparked a global debate on how to regulate AI and robotics (“governance of algorithms”). This book discusses both of these key aspects: the impact of algorithms, and the possibilities for future regulation.
Titolo autorizzato: Algorithmic Governance and Governance of Algorithms  Visualizza cluster
ISBN: 3-030-50559-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483211303321
Lo trovi qui: Univ. Federico II
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Serie: Data Science, Machine Intelligence, and Law, . 2730-5899 ; ; 1