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The necessary caution of public administrations in adopting new tools derived from artificial intelligence

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  • David HURON

    (UniCA - Université Côte d'Azur, GRM - Groupe de Recherche en Management - EA 4711 - UNS - Université Nice Sophia Antipolis (1965 - 2019) - UniCA - Université Côte d'Azur)

Abstract

The arrival of artificial intelligence (technological evolution) is bringing new perspectives to french public administrations. The French case is interesting to study for several reasons. Firstly, it is one of the OECD countries where the role of the public sphere is one of the most important in terms of government spending as a percentage of GDP. Secondly, France is also a country where the use of artificial intelligence in public services is modest. AI is only present in internal public service processes or at the level of service design and delivery, and not in improving the formulation of public policies, unlike in countries such as Canada, UK or United States. This reluctance on the part of government agencies can be explained by a lack of understanding of the new technology and by their natural legal caution (the French precautionary principle) in the face of novelty. Thus, ethic is often developed to explain why administrations are so reluctant to commit to AI. Other principles are evoked at the highest level to circumscribe this caution. These include the principles of human primacy, performance, equity and non-discrimination, transparency, safety, environmental sustainability and strategic autonomy. Generative AI is being experimented with in a number of ministries, including the Ministry of Economy and Finance. While the results of this superficial AI, based as it is on a specific business dimension, are very encouraging, their impact remains limited. For example, the "Llamandement" project at the Public Finances General Directorate was able to automate 3 out of 4 stages in the process of handling parliamentary amendments during the examination of the finance act. This has improved performance, without compromising service quality. This results in improved performance, without any deterioration in service quality. However, some experiments have not had the same positive effects ("Service public +", "je donne mon avis"). This study highlights the advantages and limitations of the choices made in France and in a few countries (UK, US and Canada) considered to be more advanced in the implementation of AI within central government.

Suggested Citation

  • David HURON, 2025. "The necessary caution of public administrations in adopting new tools derived from artificial intelligence," Post-Print halshs-05402697, HAL.
  • Handle: RePEc:hal:journl:halshs-05402697
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