The Impact of Generative AI and Large-Scale Foundation Models on Regulation of Development

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Authors: Zhafir Daffa Agnyawan, Binastya Anggara Sekti
Cited by: 0
References: 4

Abstract

This chapter explores how generative AI and large-scale foundation models disrupt regulatory frameworks that were designed for narrow, task specific systems. Because these models are general purpose, opaque, and deployed across many sectors, they challenge existing legal definitions, risk classification schemes, and traditional notions of liability. The chapter analyses key issues around accountability, intellectual property, data protection, transparency, and fairness, and reviews emerging tools such as regulatory sandboxes and technical standards. It argues for proportional, context sensitive regulation that distributes responsibility across the AI lifecycle while safeguarding fundamental rights and still enabling responsible innovation.

Fields of Study & Subjects

Digitalization Law and Regulation Ethics and Social Impacts of AI AI and Intellectual Property

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
311–344
Publication date
27 February 2026
Language
EN
Document type
Book chapter