New approaches for Human/AI collaboration for the workforce of the future (RIA) (Made in Europe and AI, Data and Robotics partnerships)
Forthcoming
Status as published by the data source.
Expected Outcome:
• Industrial jobs are transformed through AI-based human-machine interactions (and skills linked to them) which enhance flexibility, inclusion, well-being, up-skilling, career evolution and knowledge sharing;
• Increased competitiveness and sustainability of advanced manufacturing industries by means of knowledge formalization and adaptability of the machines to workers and markets based on different cultures. Scope:
Innovative AI approaches are poised to revolutionise human-machine collaboration in factories by fostering an environment where technology and human expertise synergistically enhance each other. AI can enhance the value of the companies by capturing and formalising the knowledge which is dispersed and not explicit. This allows companies to really own the knowledge and use it to reduce the onboarding time of new employees and support personnel upskilling to adapt to the evolving technological landscape. AI has a great potential to make task simpler by reducing the complexity offering intuitive interfaces and real-time feedback allowing workforce to be more efficient and effective while facilitating access to more complex tasks including those involving various forms of planning. AI can also adapt the interaction of automation with the worker taking into account particular needs of the human, including adaptation to the different abilities of the workers and facilitating inclusion. Finally, AI can be used to allow easier export of automation produced in EU by facilitating its interaction with workforce having different cultures adapting the interaction of the machines to the different needs.
Proposals should produce dedicated innovative AI approaches for human-machine collaboration in advanced manufacturing to be applied in at least two of following fields:
• Human-AI Co-Learning and knowledge capture to share competences, capture expert knowledge, provide interactive mentoring to up-skill the workforce, and support re-qualification and continuous training – leading to increased knowledge at factory level and avoiding loss of know-how.
• Human-AI teamwork thanks to innovative natural interaction models (considering the e.g. related hardware interfaces and/or collaborative machine tools), enabling to control complexity in cognitive cooperating production systems, including planning activities at shop floor level.
• Interfaces with automation which automatically adapt to the need of the humans including different abilities and different cultural needs. Proposals should integrate a gender perspective and avoid any type of discrimination in the design and deployment of AI systems and human-machine interaction models, including addressing differences in user needs, such as needs of persons with disabilities, physical and cognitive ergonomics and training pathways. Proposals are also expected to identify and address other potential biases in AI systems to promote inclusive design that ensures safe and effective use by all workers. Human/AI collaboration requires utmost sensitivity to and consideration of human values and consideration of ethical principles as represented in Digital Humanism, therefore, appropriate consideration must also be given to the contribution of SSH.
This topic is linked to the Apply AI Strategy, therefore proposals should seek collaboration with relevant initiatives.
In addition, proposals are invited to build on the results of past projects on Extended Reality Technologies (XR), such as HORIZON-CL4-2021-HUMAN-01-13, HORIZON-CL4-2021-HUMAN-01-14, HORIZON-CL4-2021-HUMAN-01-25, HORIZON-CL4-2021-HUMAN-01-06, HORIZON-CL4-2021-HUMAN-01-28.
Proposals should include a business case and exploitation strategy, as outlined in the introduction to Destination ‘Leadership in materials and production for Europe’.
This topic implements the co-programmed European Partnerships Made in Europe and AI, Data and Robotics.
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Activities are expected to start at TRL 4-5 and achieve TRL 6 by the end of the project – see General Annex B.
- Status
- Forthcoming
- Deadline
- (time not stated)
- Opens
- Published
- Total budget
- €30,000,000
- Grant range
- €4,000,000 – €6,000,000
- Country
- European Union (EU-wide)
- Programme
- Horizon Europe (HORIZON)
- Official page
- Open at the source portal
Other calls under Horizon Europe (HORIZON)
- PV based electrification of the economy: Designing & optimising PV systems supporting industrial electrification and promoting participation in electricity markets (EUPI-PV Partnership)
- Advanced TSO control rooms to enhance grid observability, stability and resilience
- Advanced Distribution Management Systems (ADSM) for more efficient and flexible distribution grids
- Community of practice - Data-Driven Decision-Making in Energy
- Industrial processes and equipment for innovative, reliable and scalable tandem technologies (EUPI-PV Partnership)
- Integrated Approaches for Retrofitting Infrastructures with Innovative Energy Storage Technologies
- Demonstration of hydropower technologies for efficient and forward-looking refurbishment of existing hydropower plants
- Delivery of industrial CCUS clusters – Societal Readiness pilot
All calls under this programme
Similar opportunities
- Factory processes and automation for de- and re-manufacturing (RIA) (Made in Europe partnership)
- Apply AI: Challenge-Driven AI Innovation Booster in Apply AI prioritised sectors (RIA) (Partnership in AI, Data and Robotics)
- New approaches for decentralized, federated and sustainable AI data processing (RIA)
- Apply AI: AI-Driven Robotics for Industry: Enabling System Integration and Adoption (IA) (Partnership in AI, Data and Robotics)
- AI integration in CCSI work practice: catalysing innovation and competitiveness
- Collaborative intelligence – combining the best of machine and human (AI Data and Robotics Partnership) (RIA)
Where this came from
- Source document
- https://ec.europa.eu/info/funding-tenders/opportunities/data/topicDetails/horizon-cl4-2027-02-digital-emerging-52-two-stage.json
- Document fingerprint
44e51ad95dedddd7(SHA-256, first 16 hex characters)- Retrieved
- First recorded here
What has changed
- url first recorded as https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-cl4-2027-02-digital-emerging-52-two-stage on
- currency first recorded as EUR on
- amount_max first recorded as 6000000.00 on
- amount_min first recorded as 4000000.00 on
- budget_total first recorded as 30000000.00 on
- deadline first recorded as 2027-02-02 on
- opens_on first recorded as 2026-09-22 on
- published_on first recorded as 2025-12-12 on
- status_basis first recorded as source_status on
- status first recorded as forthcoming on
- title first recorded as New approaches for Human/AI collaboration for the workforce of the future (RIA) (Made in Europe and AI, Data and Robotics partnerships) on
Data source
© European Union, 2026. Source: EU Funding & Tenders Portal. Reused under Commission Decision 2011/833/EU — CC BY 4.0.
Retrieved from the source on .
The source last updated this document on Mon, 02 Mar 2026 09:46:07 GMT.
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