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 (taking into account also an update from information retrieved after site visits done in November and December 2021). 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 has been reviewed and includes a structured and unified approach to the specification of all use cases, with a common information regarding Gap Analysis, Stakeholders, Data Sources, Ethical issues, and a High Level design including Use Case and Sequence Diagrams, as well as a flowchart showing the expected contributions from different partners and the link to appropriate task activities within development work packages WP2-WP4.

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.

D1.5: AI-PROFICIENT system architecture

The aim of this document is to provide the architecture of the AI-PROFICIENT platform following the “ethics by design approach”.

D3.1: AI-PROFICIENT hybrid models and digital twins first version (state of the art, designing and specification)

This report presents the state of the art of hybrid modelling and digital twins, covering the techniques from first principles modelling to fully data based surrogate models and digital twins based on these approaches. On that basis, designing of the approach for selected use cases and the specifications in each case are described.

D4.1: Human-machine interaction and feedback mechanisms (Design and specification)

This report incorporates the description of the end user’s requirements related to the use cases in terms of the feedback management and the description for each one to manage it for a reinforcement learning approach.

D5.1: Communication middleware and IIoT interoperability – design and specification

The aim of this document is to provide the design and specification of AI-PROFICIENT platform middleware and interface towards smart components and edge AI.


AI-PROFICIENT Brochure (version 1)




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  • 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.
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  • López de Calle – Etxabe Kerman, Garate – Perez Eider, Arnaiz Aitor, “Towards a Circular Rotating Blade Wear Assessment Digital Twin for Manufacturing Lines”, IFAC-PapersOnLine, Volume 55, Issue 2, 2022, Pages 561-566, ISSN 2405-8963,