COL-SAI: 1st International Workshop on COllaboration and Learning through Symbiotic Artificial Intelligence
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co-located with the 16th Biannual Conference of the Italian SIGCHI Chapter - “Technologies and Methodologies of Human-Computer Interaction in the Third Millenium“ (CHITALY
2025)
Salerno, Italy
6 – 10 October 2025
Important Dates
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Submission deadline:
July 15th 2025 AoE [EXTENDED] (*)
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Notification: July 22th 2025 AoE [EXTENDED]
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Camera-ready: TBD
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Early Registration due:
23th July 2025
(*) For those who will not register with the early registration, there is the possibility to submit a contribution until
September 7th 2025.
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Objectives
This workshop aims to explore 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 has the goal of investigating 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 workshop will be structured as follows: after an initial introduction by the organizers concerning the topics and objectives, there will be presentations for each contribution (10 minutes circa), followed by questions from the other participants. At the
end of the session, there will be a participatory activity, through which we will be able to exchange ideas, comments, and reflections concerning the best practices and challenges of Symbiotic Artificial Intelligence for Collaborative Learning Environments.
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Topics
The topics that will be addressed in the workshop are the following:
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The impact of a symbiotic human-AI relationship in collaborative environments.
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Human-Computer Interaction methodologies and techniques to foster symbiosis between humans and AI.
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Using AI in human learning processes to assist humans cognitively.
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Using AI for education and skill development.
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Methodologies and techniques for transferring knowledge between humans and AI through feedback mechanisms.
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Ethical considerations in human-AI collaborative environments (bias mitigation, fairness, non-discrimination, etc).
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AI adaptability for personalized interaction experience based on individuals' requirements.
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The role of trustworthiness in human-AI collaboration for critical activities.
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Design and evaluation of systems that foster and support human-AI collaboration.
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Case studies of AI in real-world applications (medicine, healthcare, education, etc).
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Submissions and Evaluation Criteria
We accept two types of submissions:
*(1 standard page = 2500 characters)
Each submission will be subjected to a single-blind peer review process, and two reviewers from the Program Committee (PC) will assess each contribution in terms of relevance to the workshop’s topics and its quality.
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Workshop Organizers