Resources

Public deliverables 


D1.2 Legal and ethical requirements for human-machine interaction (PDF)

This report contains an overview of the integration of ethics into the first six months of the AI-PROFICIENT project. The overview includes a literature review of the current and past work upon Industrial AI ethics, a survey of related guides and principles, and observations regarding the state of the discipline and its particular character relative to other fields of AI ethics.

D1.3 Pilot-specific demonstration scenarios (PDF)

This report incorporates a specification of the demonstrator to be constructed per use case. This specification contains a description of the case, their potential solutions, and the requirements and preferences related to each solution.

D7.1 Roadmap for dissemination and communication first release (PDF)

This report sets out the dissemination and communication strategy as well as the plan to raise awareness, share knowledge, attract potential stakeholders in the context of the AI-PROFICIENT project, through various means, including the AI-PROFICIENT website, the use of Social Media, the distribution of communication material, publications in scientific and industrial journals, participation in events and organization of dedicated workshops with potential end-users and main outreach events. 

D7.2 Project identity kit and communication material (PDF)

This document will help you understand the essential elements of the AI-PROFICIENT identity. It explains how to use the identity and serves as a source of inspiration for you to continue building a strong brand people love to be a part of.

Material


AI-PROFICIENT Brochure (version 1)

Publications


  • Chaoub, A., Voisin, A., Cerisara, C., & Iung, B. (2021). Learning Representations with End-to-End Models for Improved Remaining Useful Life Prognostic. PHM Society European Conference, 6(1), 8. https://doi.org/10.36001/phme.2021.v6i1.2785
    Download

  • López de Calle – Etxabe, K., Gómez – Omella, M., & Garate – Perez, E. (2021). Divide, Propagate and Conquer: Splitting a Complex Diagnosis Problem for Early Detection of Faults in a Manufacturing Production Line. PHM Society European Conference, 6(1), 9. https://doi.org/10.36001/phme.2021.v6i1.3039
    Download