In recent years, Human-AI Collaborative Systems (HAIC) has emerged as a key research frontier, with the aim of leveraging the complementary strengths of humans and artificial intelligence. Research in this area has demonstrated the potential of HAIC systems in a variety of fields, including healthcare, creative arts, finance, manufacturing, and education. These systems not only improve problem-solving and performance, but also enable novel forms of human-machine co-creation and decision-making. The HAIC workshop provides an interdisciplinary forum to explore these challenges and opportunities, fostering dialogue between communities towards a general framework for the design, evaluation and implementation of next-generation human-AI collaborative systems.
https://www.unibo.it/sitoweb/m.braccini (M. Braccini); https://www.unibo.it/sitoweb/allegra.defilippo (A. De Filippo); (A. Safiotti);
CEUR
ceur-ws.org thus providing a common basis for future interdisciplinary and multimodal developments. Topics of interests include but are not limited to: • Design and Development of HAIC Systems – Frameworks and methodologies for designing human-AI collaborative systems. – Designing principles for developing smart human-machine interfaces. – Principles for adaptive systems that evolve with user interactions. – Knowledge engineering for HAIC Systems. – Metrics for evaluating the quality and efectiveness of collaborations.
– Novel approaches for the integration of human feedback into HAIC systems, in real-time. • Applications and Case Studies HAIC systems in assistive robotics scenarios. – HAIC solutions for industrial challenges. – HAIC systems for precision agriculture. – Context-aware cobots for collaborative manufacturing. – Human-AI co-creation in creative arts, including but not limited to music, visual art, and poetry. – Collaborative decision-making systems. – HAIC educational systems that prioritize learner control.
– Healthcare and precision medicine through collaborative intelligence. • Future Directions and Emerging Trends – Approaches for controlling emergent dynamics in HAIC. – Visionary HAIC applications in collective robotics, such as swarm robotics. – Applications for co-creative processes human and AI. – Definition of ethical guidelines for future HAIC research and developments.
– Psychological and societal implications of HAIC technologies.
The program provides a good overview among the diferent topics related to the area of Human-AI collaborative systems.
In total, 11 contributions were accepted at HAIC 2025 (all included in the proceedings):
As a final remark, the program co-chairs would like to thank all the members of the Program Committee (listed below), as well as the organizers of the ECAI 2025 - 28TH European Conference on Artificial Intelligence1.