Ideas Without Scale in French Artificial Intelligence Innovations

Johanna Deperi, Ludovic Dibiaggio, Mohamed Keita and Lionel Nesta
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Johanna Deperi: UniBs - Università degli Studi di Brescia = University of Brescia
Mohamed Keita: SKEMA Business School

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Abstract: Artificial intelligence (AI) is viewed as the next technological revolution. The aim of this Policy Brief is to identify France's strengths and weaknesses in this great race for AI innovation. We characterise France's positioning relative to other key players and make the following observations: 1. Without being a world leader in innovation incorporating artificial intelligence, France is showing moderate but significant activity in this field. 2. France specialises in machine learning, unsupervised learning and probabilistic graphical models, and in developing solutions for the medical sciences, transport and security. 3. The AI value chain in France is poorly integrated, mainly due to a lack of integration in the downstream phases of the innovation chain. 4. The limited presence of French private players in the global AI arena contrasts with the extensive involvement of French public institutions. French public research organisations produce patents with great economic value. 5. Public players are the key actors in French networks for collaboration in patent development, but are not open to international and institutional diversity. In our opinion, France runs the risk of becoming a global AI laboratory located upstream in the AI innovation value chain. As such, it is likely to bear the sunk costs of AI invention, without enjoying the benefits of AI exploitation on a larger scale. In short, our fear is that French AI will be exported to other locations to prosper and grow.

Date: 2023-06-26
New Economics Papers: this item is included in nep-ain, nep-big, nep-cmp and nep-ino
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Published in OFCE Policy Brief, 2023, 118, pp.1-18

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Working Paper: Ideas Without Scale in French Artificial Intelligence Innovations (2023)
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