Artificial intelligence law

Lothar Determann

Chapter 1 in Determann’s Field Guide to Artificial Intelligence Law, 2026, pp 1-37 from Edward Elgar Publishing

Abstract: Chapter 1 provides an overview regarding new AI-specific laws and existing laws that pose specific new challenges and interpretive problems concerning AI, including product safety, torts, and criminal laws; property law; trade secrets, confidentiality, and security; anti-discrimination; privacy and defamation; right to publicity; GDPR and other data-processing regulations; data residency and retention. Chapter 1 discusses ownership of AI, input, and output; bias and discrimination, and basic principles of liability under tort, product safety, and product liability laws. It also provides guidance on infringement and computer interference laws, including the context of scraping for the acquisition of training data. Also included is a checklist for GDPR compliance and requirements commonly found in new, AI-specific laws, including the Colorado AI Act, EU AI Act, California's Transparency in Frontier AI Act, Texas’ Responsible Artificial Intelligence Governance Act, and New York's Responsible AI Safety and Education (RAISE) Act.

Keywords: Colorado AI Act; Data; EU AI Act; Intellectual property; Privacy and publicity; Trade secrets (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035379712
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781035379729.00009 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:25124_1

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Jack Sweeney ().