Research project

The hyPEr ExpeRt collaborative AI assistant

We develop user-centric AI assistants for sequential decision making problems, emphasizing human-AI collaboration.

Duration
October 2023 - September 2027
Partners
Information Systems IE&IS
Industrial Engineering and Innovation Sciences
EAISI
Project Manager
Hendrik Baier

Redefining Human-AI Collaboration for Complex Decisions - Current AI solutions tackling sequential decision-making often lack explainability and user understanding, hindering their real-world impact. PEER addresses this challenge by prioritizing the user throughout the entire AI lifecycle.

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.

Collaborative Partners

  • Eindhoven University of Technology
  • Gemeente Amsterdam
  • INESC TEC
  • Vrije Universiteit Brussel
  • ALPHA CONSULTANTS S.R.L.
  • FUJITSU SERVICES GMBH
  • CATIE (Centre Aquitain des technologies de l'Information et 脡lectronique)
  • EURECAT
  • Jagiellonian University
  • Sonae
  • PRODITEC
  • Datacation
  • Charles University

Researchers involved in this project

Subsidy Provider

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