Franco-German position paper on "Speeding up industrial AI and trustworthiness"

Julien Chiaroni (1) , Sonja Zillner , Natalie Bertels , Patrick Bezombes , Yannick Bonhomme (2) , Habiboulaye Amadou-Boubacar (3) , Loic Cantat (2) , Gabriella Cattaneo , Lionel Cordesse , Edward Curry (4) , Abdelkrim Doufene (2) , Emmanuelle Escorihuela , Ana García Robles , Jon Ander Gómez , Thomas Hahn , Stefan Jost-Dummer , Frederic Jurie (5) , Zoltan Mann (6) , Juliette Mattioli (7) , Andreas Metzger (8) , Yves Nicolas , Xavier Perrotton (9) , Milan Petkovic (10) , Artur Romao , Simon Scerri (11) , Maike Scholz , Harald Schöning , Marc Schoenauer (12) , Kaoutar Sghiouer , Richard Stevens , Caj Södergard , Hubert Tardieu (13) , François Terrier (14) , Eric Tordjman , Jean-Michel Tran , Henk-Jan Vink , Ray Walsh , Dimitris Zissis

1 Secrétariat général pour l'investissement
2 IRT SystemX
3 Air Liquide, Centre de Recherche Claude-Delorme, Paris-Saclay, France.
4 LERO - The Irish Software Engineering Research Centre
5 Safran Tech
6 Universität Duisburg-Essen = University of Duisburg-Essen [Essen]
7 THALES [France]
8 University of Duisbourg-Essen
9 Valeo Driving Assistance Domain
10 TU/e - Eindhoven University of Technology [Eindhoven]
11 Fraunhofer IAIS - Fraunhofer Institute for Intelligent Analysis and Information Systems
12 TAU - TAckling the Underspecified
13 UPD5 Psychologie - Université Paris Descartes – Institut de psychologie
14 CEA - Commissariat à l'énergie atomique et aux énergies alternatives

The full benefit from using AI to generate value for businesses, societal wellbeing and the environment is still to be fully realised. To lower adoption barriers of Industrial AI, challenges on multiple levels (technical complexity, trustworthiness, industrialisation, data frameworks and infrastructures, etc.) need to be addressed to benefit from its full socio economic potential for economy, society and welfare. It is now time to foster the development of "industrial and trustworthy AI" and nurture European innovation and sovereignty ambitions and benefit society and leading European industries. In this position paper, a comprehensive industrial and trustworthy AI framework that clusters the priority area for AI research, innovation and deployment is introduced. It covers tools and methodologies that support the design, test, validation, verification, and maintainability of AI based functions and systems and addresses the development of AI based process and systems to demonstrate its integration into new products and services. Conformity assessment schemes, balancing innovation, business and European perspectives, are considered to connect risk management, functional and trustworthiness requirements to industrial processes. In addition adequate standards supporting industrial AI and trustworthiness will play a central role. Implementing the industrial and trustworthy AI framework will require resources beyond the means of any European private stakeholders. Therefore, strong support from ecosystems, governments, and Europe might not be an option but necessary.

Domaines: Apprentissage [cs.LG]; Machine Learning [stat.ML]; Performance et fiabilité [cs.PF]; Intelligence artificielle [cs.AI]

Julien Chiaroni, Sonja Zillner, Natalie Bertels, Patrick Bezombes, Yannick Bonhomme, et al.. Franco-German position paper on "Speeding up industrial AI and trustworthiness". 2021. ⟨hal-03488324⟩