First Edition of
COL-SAI Workshop
COllaboration and Learning through Symbiotic Artificial Intelligence
CHItaly 2025 - Salerno, Italy
COllaboration and Learning through Symbiotic Artificial Intelligence
CHItaly 2025 - Salerno, Italy
The COllaboration and Learning through Symbiotic Artificial Intelligence (COL-SAI) workshop explores how humans and AI systems can effectively collaborate, learn from each other, and co-adapt symbiotically. Through discussions and the exchange of perspectives, the workshop aims to investigate the key components of the interaction between the two parties. Participants will gain deeper insights into the implications of integrating AI into various aspects of daily life, facilitating problem-solving activities such as learning, decision-making, and co-creation.
The structure of the workshop is as follows.
An introductory session by the organizers to present the main topics and objectives.
Individual presentations by contributors.
Interactive Q&A sessions after each presentation
Open discussion to encourage feedback, exchange of ideas, and collaborative insights
Submission: July15th, 2025 [EXTENDED] (*)
Notification: July 22 th, 2025 [EXTENDED]
Camera-Ready: To be determined
Registration: To be determined
(*) For those who will not register with the early registration, there is the possibility to submit a contribution until September 7th 2025
The workshop will explore a broad range of themes related to human-AI collaboration, including, but not limited to, the following:
The impact of a symbiotic human-AI relationship in collaborative environments.
Human-Computer Interaction methodologies and techniques to foster symbiosis between humans and AI.
Using AI in human learning processes to assist humans cognitively.
Using AI for education and skill development.
Methodologies and techniques for transferring knowledge between humans and AI through feedback mechanisms.
Ethical considerations in human-AI collaborative environments (bias mitigation, fairness, non-discrimination, etc).
AI adaptability for personalized interaction experience based on individuals' requirements.
The role of trustworthiness in human-AI collaboration for critical activities.
Design and evaluation of systems that foster and support human-AI collaboration.
Case studies of AI in real-world applications (medicine, healthcare, education, etc).
We invite and welcome two distinct types of contributions for the COL-SAI workshop:
Full Papers: Minimum of 10 standard pages*, plus an appropriate number of references.
Short Papers: Between 5 and 9 standard pages*.
All submissions will undergo a single-blind peer review. Each contribution will be evaluated by two reviewers from the Program Committee, based on its relevance to the workshop topics and overall scientific quality.
Contributions to the COL-SAI workshop must be submitted via the EasyChair platform. All submissions should follow the official CEUR template, available in both LaTeX and Microsoft Word formats. To submit your work, click the "Submit through EasyChair" button below.