Skip to Main content Skip to Navigation
New interface
Preprints, Working Papers, ...

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

Abstract : 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.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03488324
Contributor : Patrice Aknin Connect in order to contact the contributor
Submitted on : Friday, December 17, 2021 - 4:15:39 PM
Last modification on : Tuesday, October 25, 2022 - 4:23:54 PM
Long-term archiving on: : Friday, March 18, 2022 - 7:34:48 PM

File

Industrial AI and Trustworthin...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03488324, version 1

Citation

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⟩

Share

Metrics

Record views

105

Files downloads

44