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Compliance for Artificial Intelligence Systems : Strategies, Principles and Methods / edited by David Restrepo Amariles, Ken Satoh.

Springer Nature - Springer Computer Science eBooks 2026 English International Available online

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Format:
Book
Author/Creator:
Restrepo Amariles, David.
Series:
Lecture Notes in Artificial Intelligence, 2945-9141 ; 14377
Language:
English
Subjects (All):
Artificial intelligence.
Computers--Law and legislation.
Computers.
Information technology--Law and legislation.
Information technology.
Law--Philosophy.
Law.
Law--History.
Artificial Intelligence.
Legal Aspects of Computing.
Philosophy of Law.
Theories of Law, Philosophy of Law, Legal History.
Local Subjects:
Artificial Intelligence.
Legal Aspects of Computing.
Philosophy of Law.
Theories of Law, Philosophy of Law, Legal History.
Physical Description:
1 online resource (180 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
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.
Contents:
Legal Principles in Rule-Based Artificial Intelligence
A Web-Based Environment for the Specification and Generation of Smart Legal Contracts
GDPR120Q: An Annotated Q&A Corpus for Privacy Compliance
Automated Variance in Legal Decision-Making
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions
Evaluating University Curricula in Preparing Future AI Developers to Comply with the AI Act: A Case Study of Belgium
GPT Adoption Dilemma and the Impact of Disclosure Policies.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-12795-5
9783032127952
OCLC:
1568043815

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