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*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 <https://chitaly2025.di.unisa.it/>*)
Salerno, Italy
6 – 10 October 2025
Workshop website:
https://sites.google.com/unisa.it/col-sai
<https://sites.google.com/unisa.it/col-sai/home-page>
*Call for papers*
The rapid advancements in Artificial Intelligence (AI) are transforming the
way humans interact with technology. The integration of AI in our daily
lives can provide substantial support in many contexts, ranging from
medicine to education, improving the performance of both sides in terms of
knowledge and resources. Although the traditional approach in creating AI
systems focuses on the functionalities and high performance of their
models, modern society is witnessing a shift from mere automation to
augmentation and collaboration, where AI and humans enhance and learn from
each other. A step forward in this direction is enabling humans and AI to
work symbiotically together. Symbiosis can be described as a consequence of
the human-AI partnership, where human intelligence serves to improve AI
systems, and vice versa, through a bidirectional relationship of mutual
exchange.
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.
*Topics*
The topics that will be addressed in the workshop are 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 experiences 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).
*Important Dates*
- Submission deadline: *June **16th **2025 *
- Notification: *June 30**th **2025 *
*Submissions and Evaluation Criteria*
Contributions for the workshop must be submitted through EasyChair using
the following link
https://easychair.org/conferences/?conf=colsai2025,
following the LaTeX or Microsoft Word template, available at:
*https://ceur-ws.org/Vol-XXX/CEURART.zip
<https://ceur-ws.org/Vol-XXX/CEURART.zip>*.
For more information, visit the CEUR website
<https://ceur-ws.org/HOWTOSUBMIT.html#PUBLISH-RULES>.
We accept two types of submissions:
- *Full paper*: at least 10 "standard" pages* and an appropriate number
of references.
- *Short paper*: between 5-9 "standard" pages*.
*(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.
*Workshop Organizers*
-
Miriana Calvano – University of Bari, Italy (*miriana.calvano(a)uniba.it
<miriana.calvano(a)uniba.it>*)
-
Andrea Antonio Cantone – University of Salerno, Italy (*acantone(a)unisa.it
<acantone(a)unisa.it>*)
-
Antonio Curci – University of Bari, Italy (*antonio.curci(a)uniba.it
<antonio.curci(a)uniba.it>*)
-
Francesca Perillo – University of Salerno, Italy (*fperillo(a)unisa.it
<fperillo(a)unisa.it>*)