Large Scale pilots on trustworthy AI data and robotics addressing key societal challenges (AI Data and Robotics Partnership) (IA)

Call updates

Jul 31, 2023 2:54:10 PM

EVALUATION results

Published: 07/12/2022

Deadline: 29/03/2023

Available budget: EUR 201 500 000

The results of the evaluation are as follows:

Number of proposals submitted (including proposals transferred from or to other calls): 203

Number of inadmissible proposals: 7

Number of ineligible proposals: 8

Number of above-threshold proposals: 135

Total budget requested for above-threshold proposals: EUR 920,801,927.03

We recently informed the applicants about the evaluation results for their proposals.

For questions, please contact the Research Enquiry Service.

Mar 31, 2023 10:53:09 AM

Call HORIZON-CL4-2023-HUMAN-01 has closed on the 29 March 2023.

203 proposals have been submitted.

The breakdown per topic is:

HORIZON-CL4-2023-HUMAN-01-02: 7 proposals

Evaluation results are expected to be communicated in July 2023.

Dec 9, 2022 10:18:36 AM

The submission session is now available for: HORIZON-CL4-2023-HUMAN-01-02(HORIZON-IA)

Large Scale pilots on trustworthy AI data and robotics addressing key societal challenges (AI Data and Robotics Partnership) (IA)

TOPIC ID: HORIZON-CL4-2023-HUMAN-01-02

Programme: Horizon Europe Framework Programme (HORIZON)
Call: A human-centred and ethical development of digital and industrial technologies (HORIZON-CL4-2023-HUMAN-01-CNECT)
Type of action: HORIZON-IA HORIZON Innovation Actions
Type of MGA: HORIZON Action Grant Budget-Based [HORIZON-AG]
Deadline model: single-stage
Planned opening date: 08 December 2022
Deadline date: 29 March 2023 17:00:00 Brussels time

ExpectedOutcome:
Projects are expected to contribute to the following outcomes:

Strengthening EU’s ecosystem of AI, Data and Robotics excellence and innovation in world class foundational and application-inspired and application-oriented research;
Technology progress in AI addressing major challenges hampering the deployment of AI, Data and Robotics technologies;
Wide uptake of AI, Data and Robotics technologies by industry and end-users towards the Digital Decade targets for 2030.
Robust and trustworthy AI, Data and Robotics technologies
Scope:
AI is key to maintain European sovereignty in major industrial sectors strategic for Europe. Human-centric approaches are key to acceptance and to ensure safety, security and protection of fundamental rights. To assure safety and human acceptance trust is mandatory. AI based solutions and tools can boost societal wellbeing and economic growth. To promote their deployment and uptake, there is a need to test and improve their robustness, performance and reliability in real-world scenarios and on concrete use cases to identify and overcome barriers to their deployment. Large scale pilots involving industry and end users can demonstrate how AI, Data and Robotics enabled solutions can benefit, both industry as well as a society, demonstrating robustness and “trustworthiness” (in all its dimension). Pilots should target technological advances with large scale potential impact ion strategically important sectors with large societal impacts such as healthcare, improved working and/or living conditions, etc.

Multidisciplinary research and innovation activities should address all of the following:

Proposals should involve appropriate expertise in all the relevant disciplines, such as engineering, computer sciences, mathematics, Social Sciences and Humanities (SSH), biology, gender etc. and involve the relevant expertise to address the selected application sector.
Contribute to making AI and robotics solutions meet the requirements of Trustworthy AI, based on the respect of the ethical principles, the fundamental rights including critical aspects such as robustness, safety, reliability, in line with the European Approach to AI. Ethics principles needs to be adopted from early stages of development and design.
Involvement of end-users in the requirement and validation of the pilots to ensure human-centric approach and maximise acceptance.
Proposals should include a clear business case and exploitation strategy.
Build on existing standards or contribute to standardisation. Interoperability for data sharing should be addressed, notably through the implementation of the FAIR data principles and adopting standardised and discipline-oriented metadata schemas and ontologies.
Projects should build on or seek collaboration with existing projects and develop synergies with other relevant European, national or regional initiatives, funding programmes and platforms.
All proposals should demonstrate the assessment criteria upon which the proposed sectors/use-cases have been selected (e.g. in terms of socioeconomic factors, etc.).

All proposals are furthermore expected to embed mechanisms to assess and demonstrate progress (with qualitative and quantitative KPIs, benchmarking and progress monitoring, as well as illustrative application use-cases demonstrating concrete potential added value), and share communicable results with the European R&D community, through the AI-on-demand platform or Digital Industrial Platform for Robotics, public community resources, to maximise re-use of results, either by developers, or for uptake, and optimise efficiency of funding; enhancing the European AI, Data and Robotics ecosystem through the sharing of results and best practice.

This topic implements the co-programmed European Partnership on AI, data and robotics.

Specific Topic Conditions:
Activities are expected to start at TRL 3-5 and achieve TRL 6-7 by the end of the project – see General Annex B.