We encourage the submission of original contributions that explore innovative methodologies for building Human-AI collaborative systems.

In particular, authors can submit:

  1. Regular papers (max. 12 + references – CEUR.ws format);
  2. Short/Position papers (max 8 pages + references - CEUR.ws format);
  3. Discussion papers of recent works published elsewhere (max 8 pages + references - CEUR.ws format).

Topics of Interest include but are not limited to:

  • Frameworks and methodologies for designing human-AI collaborative systems.
  • Designing principles for developing smart human-machine interfaces.
  • HAIC systems in healthcare/robotics/industrial scenarios.
  • Human-AI co-creation in creative arts.
  • HAIC Educational systems that prioritize learner control.
  • Collaborative decision-making systems

All submitted papers will be evaluated by at least two members of the program committee, based on originality, significance, relevance and technical quality. Submissions of full research papers must be in English, in PDF format in the CEUR-WS conference format that you can download as offline version from http://ceur-ws.org/Vol-XXX/CEURART.zip or at this link if an Overleaf template is preferred. Submissions should be single blinded, i.e. authors names should be included in the submissions. Submissions must be made through the EasyChair conference system prior the specified deadline (all deadlines refer to GMT) by selecting HAIC as submission track. Discussion papers are extended abstracts that present your favourite recent application work (published elsewhere), position, or open problems with clear and concise formulations of current challenges. At least one of the authors should register and take part at the conference to make the presentation.

Important Dates

  • Paper submission deadline: June 15th, 2025
  • Notification to authors: July 21st, 2025
  • Camera-Ready submission: September 1st, 2025

Proceedings and Post Proceedings

All accepted papers will be published in the volume series of CEUR-WS.

For any information write to: m.braccini@unibo.it