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.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal, conference, or workshop. The following paper categories are welcome:

• Full Papers: minimum of 10 standard pages.

• Short Papers: between 5 and 9 standard pages.

All submissions should follow the official CEUR template.

List of Topics

• 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). 

Venue

The workshop will be held in Salerno, Italy in conjunction with CHItaly 2025.

Contact

All questions about submissions should be emailed to:

- Miriana Calvano miriana.calvano@uniba.it

- Andrea Antonio Cantone acantone@unisa.it

- Antonio Curci antonio.curci@uniba.it

- Francesca Perillo fperillo@unisa.it