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This funding call under Horizon Europe focuses on advancing software engineering for AI and generative AI applications, addressing critical challenges in the development, deployment, and operation of AI systems. The initiative emphasizes creating bias-free AI algorithms and enhancing methods for AI explainability, with a strong focus on generative AI applications like large language models and foundational models. It seeks to address gaps in current software engineering methods, such as testing, data pipeline management, energy efficiency, and defense against data poisoning.
The projects are expected to enhance productivity for AI developers, simplify application integration, automate operations, and strengthen Europe’s leadership in AI development while aligning with the AI Act. Collaboration with EU-based chip designers and synergies with related initiatives will be pivotal for optimizing hardware-software co-design. This initiative also stresses integrating green and responsible data practices, leveraging open-source software, and building strategic autonomy in digital technologies.
With a total indicative budget of 15.000.000 €, the call invites Research and Innovation Actions (RIA) to achieve targeted outcomes, aiming to increase Europe’s global competitiveness in AI technologies and ensure strategic autonomy in high-tech sectors.
Opening: 10 Jun 2025
Deadline(s): 13 Nov 2025
Data provided by Sciencebusiness.net
This funding opportunity represents a pre-agreed draft that has not yet been officially approved by the European Commission. The final, approved version is expected to be published in the first quarter of 2025. This draft is provided for informational purposes and may be used to preliminarily form consortia and develop project ideas, but it is offered without any guarantees or warranties.
Expected Outcome
- Improved tools for developing bias-free AI and generative AI.
- Enhanced productivity for generative AI application developers.
- Reference architectures and frameworks for modularity.
- Simplified and automated development and operations.
- Accelerated EU advancements in AI aligned with the AI Act.
- Stronger collaboration with EU chip designers for optimized performance.
Scope
- Address gaps in current software engineering for AI and generative AI.
- Develop methods for bias-free AI and explainability.
- Improve protection against data and prompt poisoning.
- Optimize AI system performance and energy efficiency.
- Collaborate with hardware designers for efficient hardware-software integration.
- Foster synergies with EU initiatives and projects, including digital twins and energy-efficient AI.