Current AI solutions tackling sequential decision-making often lack flexibility and user integration, hindering their real-world impact. PEER addresses this challenge by prioritizing the user throughout the entire AI lifecycle.
PEER is not just building AI assistants; it's trying to redefine the way humans and AI interact.
Beyond static explanations, PEER facilitates a dynamic dialogue between users and AI, exploring options and tailoring solutions together. Continuous feedback loops ensure constant learning and adaptation to user preferences and evolving problems.
AI outputs are no longer generic - they're customized to each user's context and needs, maximizing relevance and impact. Bidirectional knowledge transfer empowers both users and AI, leading to improved decision-making capabilities over time.
This collaborative approach extends beyond theoretical research. PEER translates into practical applications that empower individuals and organizations in real-world scenarios. By bridging the gap between AI capabilities and user expectations, PEER unlocks the true potential of mixed human-AI initiatives for complex decision-making tasks.
Putting the user at the center of everything, to ensure that artificial intelligence works WITH you, not for you. Imagine a world where AI seamlessly integrates into our lives, making them simpler, safer, and more productive, an AI that learns from you, understands your needs, and works alongside you like a true partner.
Imagine an AI that learns from you, understands your needs, and works alongside you like a true partner. That's the vision behind PEER, merging social science and AI to redefine decision-making.
We're trying to go beyond traditional AI to create an AI that's truly useful and trustworthy.
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Jan 07, 2026
On January 6th, the PEER project was presented during an End-to-End Session at the IEMS – Industrial Engineering and Management Symposium by Fábio Neves-Moreira from INESCTEC.
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Oct 25, 2025
While explainable artificial intelligence (XAI) has become massively popular and impactful over the last years and has become an integral part of all major AI venues, progress in the field is, to some degree, still hindered by a lack of agreed-on evaluation methods and metrics.
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Oct 21, 2025
A Consortium Meeting took place in Munich, kindly hosted by Fujitsu. Throughout the meeting, our partners presented the use cases, showcasing the latest updates of the PEERproject and took part in interactive sessions focused on development and implementation, aimed at better defining priorities, challenges, goals, and next steps.
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