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
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.
Workshop Organizers