Source: Springer

The chapter from Springer discusses the intricate relationship between artificial intelligence (AI) and data sovereignty in the context of emerging technologies. It explores how the increasing reliance on AI for data processing and decision-making raises questions about ownership, jurisdiction, and privacy in a globalized digital ecosystem. The text highlights the challenges governments and institutions face in asserting control over data generated or processed by AI systems, particularly when data flows cross borders.

It also examines the tension between fostering AI innovation and ensuring compliance with local sovereignty laws, emphasizing the need for robust international agreements to address these issues. Special focus is given to data protection regulations like the GDPR, as well as proposals for creating AI-specific governance models. The piece underscores that striking a balance between innovation and sovereignty is essential for ethical and equitable AI adoption.