Explainable and Robust AI

This grant aims to support research teams and organizations in the European Union by advancing the robustness, explainability, and reliability of AI systems, including generative AI models. This initiative focuses on developing AI solutions that are safe, transparent, and accountable, ensuring they operate reliably under real-world conditions.

Type of Project to Develop

• Projects improving the robustness and reliability of AI systems.
• Projects enhancing the explainability and transparency of AI models.
• Projects integrating multidisciplinary research to address biases and ethical concerns in AI.

Eligibility Criteria

• Research institutions and organizations within the EU.
• Teams with expertise in AI, machine learning, and relevant sector-specific use cases.
• Proposals that include Social Sciences and Humanities (SSH) perspectives to address ethical and bias concerns.

Eligible Expenses

• Costs for development and testing of novel AI algorithms and models.
• Costs for multidisciplinary research activities, including collaboration with SSH experts.
• Costs related to the assessment, benchmarking, and dissemination of research results.

Examples of Eligible Projects

• A research project developing AI models that can reliably operate in diverse and unpredictable real-world conditions while providing clear and meaningful explanations for their decisions.
• An initiative that creates hybrid AI approaches combining learning, knowledge, and reasoning to enhance robustness and explainability, tested in real-life applications such as healthcare or transportation.
• A multidisciplinary project addressing biases in AI systems by integrating gender and intersectional knowledge, ensuring the development of fair and transparent AI solutions.