The development and lifecycle of AI-based systems

Bjørn Aslak Juliussen

Chapter 2 in Compliance by Design in AI Systems, 2026, pp 19-39 from Edward Elgar Publishing

Abstract: This chapter outlines the structure of the chapters of the book, focusing on the legal and regulatory issues that arise across the AI system lifecycle – from data collection and model training to deployment and lifecycle management. In order to introduce the book's structure, it is necessary to present some of the most common types of Machine Learning and the development methodologies frequently applied in Machine Learning projects. The chapter introduces the book's structure, organised around three components: data, model, and AI-as-a-Service (AIaaS). Each component serves to analyse overlapping requirements under data protection law (i.e., the GDPR interpreted in line with the Charter), the AI Act, and cybersecurity regulations. Key themes such as accuracy, transparency, and security are examined across these legal frameworks, highlighting the value of a unified approach to compliance throughout AI development and deployment.

Keywords: AI System Development Methodologies; Machine Learning; DevOps; MLOPs (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035390724
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