Data science as new knowledge for governing artificial intelligence in public administrations

Abstract

In a rapidly changing context, due to the growth of administrative complexity, the computational hegemony of private powers and the growing European and national legislation on data and artificial intelligence systems, it is necessary for administrations to start using algorithmic technologies for the exercise of administrative functions in a conscious manner. Starting from these premises, the author reflects on what knowledge must be present in public administrations in order to govern the use of AI systems for the care of collective interests, highlighting limits and criticalities of the current situation.