Algorithmic Governance and Governance of Algorithms : Legal and Ethical Challenges / / edited by Martin Ebers, Marta Cantero Gamito

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (IX, 167 p. 3 illus., 1 illus. in color.)
• Disciplina: 343.0999
• Soggetto topico: Information technology - Law and legislation; Mass media - Law and legislation; Machine learning; Robotics; IT Law, Media Law, Intellectual Property; Machine Learning
• 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
• 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
• Serie: Data Science, Machine Intelligence, and Law, . 2730-5902 ; ; 1