Federico Galli

Research Fellow at CIRSFID-Alma AI, University of Bologna. PhD in Law Science and Technology from the University of Bologna and in Computer Science from University of Luxembourg.

In recent years, Artificial Intelligence (AI) applications based on big data have sparked a huge debate among lawyers. The debate has focused on how new interactions mediated by data-driven AI affect different legal principles, challenge existing rules, and require changes in the legal framework. Many traditional fields of law were covered: data protection law, consumer protection law, intellectual property law, etc. This article provides an overview of the challenges and opportunities that lie at the intersection of AI applications and the domain of taxation and tax law. In the first part, the paper examines how current AI-powered economic models reshape the traditional value chain and influence legal concepts in direct and indirect taxation. The second part discusses how AI is applied in different areas of voluntary tax compliance and tax administrations' controls, and how these developments generate new challenges for (tax) law.

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