This study examines the role of public procurement of artificial intelligence (AI) as a catalyst for transformative change in State functions. Building on the concept of transformative law, it argues that law should not merely regulate technological innovation but actively guide and shape it in accordance with democratic values and the rule of law. Within this framework, public procurement emerges as a strategic instrument for (re)structuring the very configuration of public governance and institutions. This analysis highlights key legal issues surrounding the procurement of AI, starting with the premise of its dual function: on the one hand, as a tool for optimising acquisition procedures and, on the other, as the object of acquisition itself. Among the most pressing issues analysed are the definitions of algorithmic legality and accountability, the asymmetry of expertise between public authorities and private suppliers, and the regulatory complexity that characterises the field, especially in light of the recently adopted EU AI Act. Finally, this study conceptualises the public procurement of AI as a form of legal infrastructure, capable of securing systemic and enduring transformations for the State and its institutions.
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Transformative Public Procurement of Artificial Intelligence
Semantic Scholar · 2025
Abstract
This study examines the role of public procurement of artificial intelligence (AI) as a catalyst for transformative change in State functions. Building on the concept of transformative law, it argues that law should not merely regulate technological innovation but actively guide and shape it in accordance with democratic values and the rule of law. Within this framework, public procurement emerges as a strategic instrument for (re)structuring the very configuration of public governance and institutions. This analysis highlights key legal issues surrounding the procurement of AI, starting with the premise of its dual function: on the one hand, as a tool for optimising acquisition procedures and, on the other, as the object of acquisition itself. Among the most pressing issues analysed are the definitions of algorithmic legality and accountability, the asymmetry of expertise between public authorities and private suppliers, and the regulatory complexity that characterises the field, especially in light of the recently adopted EU AI Act. Finally, this study conceptualises the public procurement of AI as a form of legal infrastructure, capable of securing systemic and enduring transformations for the State and its institutions.