DeepRAP: Deep Reasoning, Abstraction & Planning towards trustworthy Cognitive AI Systems

Expected Impact:

The resulting portfolio will not only advance the scientific state-of-the-art but also build a robust, interoperable, and application-driven community, positioning Europe at the forefront of trustworthy cognitive AI. It should also lay the foundations for future European leadership in safe, human-centric cognitive AI, supporting sovereignty and competitiveness in key sectors. It will support the ambitions of the AI Act[1] and the European approach to Artificial Intelligence[2].

Expected Outcome:

Ambitious proposals put forward under this call will deliver:

• Models and/or architectures that handle multimodal data and knowledge, uncertainty, and can be trained and deployed with constrained computational resources
• Provable trustworthiness mechanisms ensuring explainability, transparency, fairness, risk evaluation, security and alignment with ethical and legal standards, including fundamental rights and the EU AI Act, and
• Demonstrate the developed capabilities integrated in a cognitive AI system (reaching TRL4) performing complex real-world tasks (e.g., scientific discovery, decision support, problem solving) as well as simulations at a scale.

In addition, proposals will:

• Propose new methods and metrics for evaluating and certifying reasoning and trustworthiness in AI as well as the use of the computational resources
• Follow the FAIR principles ensuring all data, models, and results are Findable, Accessible, Interoperable, and Reusable to maximise transparency, reproducibility, and impact, and
• Develop synergies with EU initiatives such as TEFs (AI Testing and Experimentation Facilities)[3], eBrains[4], Resource for AI Science in Europe (RAISE)[5], AI-on-demand Platform (AIoD)[6] and the Quantum Flagship[7].

Portfolio approach

Trimmed here, the full scope, expected outcomes and award criteria are on the official topic page ↗.