1.

Record Nr.

UNINA9910483211303321

Titolo

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

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-50559-6

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (IX, 167 p. 3 illus., 1 illus. in color.)

Collana

Data Science, Machine Intelligence, and Law, , 2730-5902 ; ; 1

Disciplina

343.0999

Soggetti

Information technology - Law and legislation

Mass media - Law and legislation

Machine learning

Robotics

IT Law, Media Law, Intellectual Property

Machine Learning

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

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.