Imagine having a smart assistant that doesn't just give you an answer, but explains its reasoning based on who you are and what you already know. It's like a co-pilot that learns from your corrections in real-time to get better at its job. Instead of a black box, it's a two-way conversation where the human and the machine help each other reach the best possible choice.
Professionals in high-stakes fields often distrust AI because they cannot see the logic behind its suggestions. This leads to low adoption rates of tools that could otherwise reduce human error and cognitive overload.
A software ecosystem for hybrid decision support and a set of neuro-symbolic algorithms that allow AI to explain its decisions through interactive dialogue.
If you are a surgical software provider dealing with high-stress intraoperative errors — this project developed a hybrid decision support system that assists surgical teams in complex procedures to improve accuracy.
If you are a bank dealing with biased or opaque loan approvals — this project developed a tool for loan officers and applicants that ensures ethical and transparent credit lending decisions.
If you are a public agency dealing with inefficient fund allocation — this project developed a decision support system that helps policy makers design better incentives and distribute funds more effectively.
Based on available project data, no pricing or cost information is provided as this is a research project.
The project is currently developing a software ecosystem and testing it across 4 high-impact use cases, but it is not yet at full industrial scale.
Based on available project data, specific licensing terms are not listed, though it involves a consortium of 24 partners including 4 industry members.
Yes, the project is specifically designed to align with the EU Artificial Intelligence Act, focusing on fairness, transparency, and accountability.
It uses a human-in-the-loop design where the AI adapts its explanations based on whether the user is a layperson or an expert.
The project features a strong research-to-industry bridge with 24 partners. While dominated by 9 universities and 6 research institutes, there is a significant 17% industry participation rate (4 companies), including 3 SMEs, suggesting the results are being vetted for commercial viability from the start.
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