Legal Entropy in AI Governance

Spiros Kontis · Sofia Anastasiadou · Lazaros Anastasiadis · Lambrini Seremeti

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Digitalization, Law, and Regulation Ethics and Social Impacts of AI Artificial Intelligence in Law

Abstract

The integration of Artificial Intelligence (AI) into various sectors of society has introduced significant challenges to legal procedures, resulting in what can be called legal entropy. This concept refers to the increasing disorder, unpredictability and complexity within legal systems as they attempt to regulate rapidly evolving technologies. This chapter explores the manifestations of legal entropy in AI governance, including regulatory uncertainty, inconsistent legal interpretation, algorithmic opacity, and ethical and liability dilemmas. It examines the factors contributing to this phenomenon, including the rapid pace of technological advances, fragmented regulatory approaches, and the erosion of legal predictability. To manage and mitigate legal entropy, the chapter proposes several strategies, such as developing adaptive legal frameworks, enhancing transparency and accountability in AI systems, ensuring human oversight, promoting international cooperation, bridging the expertise gap and encouraging innovation in legal technology.

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2024AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications 2022Accountability in Artificial Intelligence: What It Is and How It Works 2024Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making 2024AI Governance in a Complex and Rapidly Changing Regulatory Landscape: A Global Perspective 2023Artificial Intelligence (AI) Trust Framework and Maturity Model: Applying an Entropy Lens to Improve Security, Privacy, and Ethical AI 2019Artificial Intelligence and Transparency: Opening the Black Box 2024Limitations and Loopholes in the EU AI Act and AI Liability Directives: What This Means for the European Union, the United States, and Beyond 2023Catching up with AI : Pushing toward a cohesive governance framework

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