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Legal aspects of autonomous systems : a comparative approach

Title
Legal aspects of autonomous systems : a comparative approach / Dário Moura Vicente, Rui Soares Pereira, Ana Alves Leal, editors.
ISBN
9783031479458 (hardcover)
3031479459 (hardcover)
9783031479465
3031479467
Publication
Cham, Switzerland : Springer, [2024]
Copyright Notice Date
©2024.
Physical Description
xii, 382 pages : illustrations ; 24 cm.
Summary
"As computational power, the volume of available data, IT systems' autonomy, and the human-like capabilities of machines increase, robots and AI systems have substantial and growing implications for the law and raise a host of challenges to current legal doctrines. The main question to be answered is whether the foundations and general principles of private law and criminal law offer a functional and adaptive legal framework for the 'autonomous systems' phenomena. The main purpose of this book is to identify and explore possible trajectories for the development of civil and criminal liability; for our understanding of the attribution link to autonomous systems; and, in particular, for the punishment of unlawful conduct in connection with their operation. AI decision-making processes - including judicial sentencing - also warrant close attention in this regard. Since AI is moving faster than the process of regulatory recalibration, this book provides valuable insights on its redesign and on the harmonization, at the European level, of the current regulatory frameworks, in order to keep pace with technological changes. Providing a broader and more comprehensive picture of the legal challenges posed by autonomous systems, this book covers a wide range of topics, including the regulation of autonomous vehicles, data protection and governance, personality rights, intellectual property, corporate governance, and contract conclusion and termination issues arising from automated decisions, blockchain technology and AI applications, particularly in the banking and finance sectors"-- Page 4 of cover.
Other formats
Online version: Legal aspects of autonomous systems. Cham, Switzerland : Springer, [2024]
Format
Books
Language
English
Added to Catalog
April 03, 2024
Series
Data science, machine intelligence, and law, volume 4.
Bibliography
Includes bibliographical references.
Contents
Autonomus System and Civil Liability
Autonomous Systems and Tort Law / Mafalda Miranda Barbosa
Violation of the Right to Be Forgotten on the Internet : Legal Overview of Tort Law Aspects / Marina Sancho Lopez
Suppliers' Civil Liability for Damage Caused by Autonomous Vehicles : a Brazilian Perspective / Giovana Benetti
European AI Regulation Perspectives and Trends / Henrique Sousa Antunes
Autonomous System, Attribution and Punishment
The Basic Models of Criminal Liability of AI Systems and Outer Circles / Gabriel Hallevy
Punishing Artificial Intelligence : Legal Fiction or Science Fiction / Ryan Abbott and Alexander Sarch
Robots and Liability : New Criteria and Attribution Methods / Esther Monterroso Casado
Self-Driving Cars and Criminal Law / Alaor Leite
Autonomous Systems and Wrongdoing: Revisiting the Meaning of Wrongdoing / Rui Soares Pereira
Algorithmic Protection of the Core Area of Private Life : on the Deployment of Artificial Intelligence in Computer and Network Surveillance as a Duty of the State / Orlandino Gleizer
The Spread of Fake News by Social Bots : Perspectives on Social Bot Regulation / Hugo Soares
Autonomous Systems and Decision-Making
Judicial Power Without Judicial Responsibility : the Case Against Robot Judges / Luis Greco
Regulating Judge Artificial Intelligence (AI) / Tania Sourdin
Artificial Intelligence, Probabilities, and Evidence / Joao Marques Martins
Creative Machines : Machine Learning Models, Copyright, and Computational Creativity / Lisa Kade
Autonomous Systems and Contracts
Blockchain(s), Smart Contracts, and Intellectual Property / Vitor Palmela Fidalgo
Algorithms, Creditworthiness, and Lending Decisions / Ana Alves Leal
Blockchain, Currency, and Systemic Issues / Francisco Mendes Correia
CorpTech and Self-Driving Corporate Governance / Madalena Perestrelo de Oliveira.
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