%0 Unpublished work %T Franco-German position paper on "Speeding up industrial AI and trustworthiness" %+ Secrétariat général pour l'investissement %+ IRT SystemX %+ Air Liquide, Centre de Recherche Claude-Delorme, Paris-Saclay, France. %+ The Irish Software Engineering Research Centre (LERO) %+ Safran Tech %+ Universität Duisburg-Essen [Essen] %+ THALES [France] %+ University of Duisbourg-Essen %+ Valeo Driving Assistance Domain %+ Eindhoven University of Technology [Eindhoven] (TU/e) %+ Fraunhofer Institute for Intelligent Analysis and Information Systems (Fraunhofer IAIS) %+ TAckling the Underspecified (TAU) %+ Université Paris Descartes – Institut de psychologie (UPD5 Psychologie) %+ Commissariat à l'énergie atomique et aux énergies alternatives (CEA) %A Chiaroni, Julien %A Zillner, Sonja %A Bertels, Natalie %A Bezombes, Patrick %A Bonhomme, Yannick %A Amadou-Boubacar, Habiboulaye %A Cantat, Loic %A Cattaneo, Gabriella %A Cordesse, Lionel %A Curry, Edward %A Doufene, Abdelkrim %A Escorihuela, Emmanuelle %A Robles, Ana García %A Gómez, Jon Ander %A Hahn, Thomas %A Jost-Dummer, Stefan %A Jurie, Frederic %A Mann, Zoltan %A Mattioli, Juliette %A Metzger, Andreas %A Nicolas, Yves %A Perrotton, Xavier %A Petkovic, Milan %A Romao, Artur %A Scerri, Simon %A Scholz, Maike %A Schöning, Harald %A Schoenauer, Marc %A Sghiouer, Kaoutar %A Stevens, Richard %A Södergard, Caj %A Tardieu, Hubert %A Terrier, François %A Tordjman, Eric %A Tran, Jean-Michel %A Vink, Henk-Jan %A Walsh, Ray %A Zissis, Dimitris %Z Confiance.ai %8 2021-12-17 %D 2021 %Z Computer Science [cs]/Machine Learning [cs.LG] %Z Statistics [stat]/Machine Learning [stat.ML] %Z Computer Science [cs]/Performance [cs.PF] %Z Computer Science [cs]/Artificial Intelligence [cs.AI]Preprints, Working Papers, ... %X 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 andtrustworthiness 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. %G English %2 https://hal.science/hal-03488324/document %2 https://hal.science/hal-03488324/file/Industrial%20AI%20and%20Trustworthiness%20-%20Position%20Paper%20-%20ConsultationVersion-May21.pdf %L hal-03488324 %U https://hal.science/hal-03488324 %~ CEA %~ CNRS %~ INRIA %~ INRIA-SACLAY %~ INRIA_TEST %~ TESTALAIN1 %~ CENTRALESUPELEC %~ INRIA2 %~ CEA-UPSAY %~ IRT-SYSTEMX %~ UNIV-PARIS-SACLAY %~ UNIV-PARIS %~ UNIVERSITE-PARIS %~ TEST-HALCNRS %~ UNIVERSITE-PARIS-SACLAY %~ LISN %~ GS-ENGINEERING %~ GS-COMPUTER-SCIENCE %~ LISN-AO %~ CONFIANCEAI