Compliance for Artificial Intelligence Systems - Strategies, Principles and Methods

This contributed volume brings together perspectives from computer science, law, and organizational practice, it’s a foundational resource in the growing literature on compliance of AI systems.
The chapters were inspired by the contributions to the International Symposium on Compliance for Algorithmic Law (SCALGO 2022), followed by further invitations and content reviewing. Collectively the volume underscores the need for co-production of AI governance among technologists, lawyers, regulators, and users.
The editors hope that readers will find the content both intellectually stimulating and practically useful as they confront the challenge of building safe, lawful, and trustworthy AI systems.

Dettagli sul prodotto

• Con la collaborazione di: David Restrepo Amariles (Editore), Satoh (Editore), Ken Satoh (Editore)
• Editore: Springer International Publishing
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 10.01.2026
• EAN: 9783032127945
• ISBN: 978-3-032-12794-5
• Illustrazioni: Approx. 150 p.
• Serie: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; Research, Applications, Artificial Intelligence, Rechtsmethodik, Rechtstheorie und Rechtsphilosophie, Smart Contracts, computer science, Digital- und Informationstechnologien: Rechtliche Aspekte, Theories of Law, Philosophy of Law, Legal History, Philosophy of Law, Legal Aspects of Computing, Informatics, AI Act, conference proceedings, Legal Decision-Making, Privacy Compliance