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According to autopoietic theories when applied to the legal system and artificial intelligence (AI), the transformations of law and AI are not linear nor are they are separate. Rather, AI influences the transformation of law, and law, likewise, influences the transformation of AI. In this way, many questions have arisen regarding ethics and the role of the law in the governance of AI. The impact from the mergence of AI and law has significant implications for society, including informing policies regarding regulation and fundamental rights as well as managing safety, equity, and accountability in various sectors using AI in their operations. Consequently, an urgent need exists for ensuring risk mitigation while enhancing the benefits of AI in society. Modern Perspectives on Artificial Intelligence and Law examines the interplay between the legal system and AI and the way they influence each other. With a focus on AI governance, it explores challenges of regulating AI while still advancing AI innovation in fields such as healthcare and in everyday human life. Covering topics such as legal entropy, semantic inconsistencies, and intellectual property law, this book is an excellent resource for statisticians, law practitioners, data scientists, economists, social scientists, informaticists, bio-informaticists, professionals, researchers, scholars, academicians, and more.
