[Hcitaly] [CFP] Deadline Extended - workshop on COllaboration and Learning through Symbiotic Artificial Intelligence (COL-SAI)

========================================= *COL-SAI: 1st International Workshop on COllaboration and Learning through Symbiotic Artificial Intelligence* ========================================= 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> *Important Dates* - Submission deadline: *June **16th **2025 * *June 30**th **2025 * *[EXTENDED]* - Notification: *June 30**th **2025 **July 14 th, 2025 [EXTENDED]* *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). *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 &lt;miriana.calvano(a)uniba.it&gt;*) - Andrea Antonio Cantone – University of Salerno, Italy (*acantone(a)unisa.it &lt;acantone(a)unisa.it&gt;*) - Antonio Curci – University of Bari, Italy (*antonio.curci(a)uniba.it &lt;antonio.curci(a)uniba.it&gt;*) - Francesca Perillo – University of Salerno, Italy (*fperillo(a)unisa.it &lt;fperillo(a)unisa.it&gt;*)