The Social AI Group and the Social AI Centre for Doctoral Training (CDT) are organising the Fourth Workshop on Artificial Social Intelligence on 25 September 2026 in Studio 2 of the Advanced Research Centre, University of Glasgow, UK. 

Social AI involves developing an AI domain aimed at endowing artificial agents with social intelligence, the ability to deal appropriately with users’ attitudes, intentions, feelings, personality and expectations. This full day workshop (9am to 4pm) will host a series of invited talks by renowned experts in Social AI. Our goal is to bring together academic experts, students and industry professionals to encourage dialogs around the progress, challenges and opportunities in Social AI as AI continues to permeate all aspects of our social presence. 

Keynote Speakers include:

Dr Yiming Wang, Fondazione Bruno Kessler

"Embodied perception and reasoning in human-centric environments"

Recent advances in vision-language models and multimodal large language models have transformed embodied AI, enabling agents to move beyond specialist systems toward generalist models that can interpret visual observations and natural-language instructions to generate executable actions. While these models have demonstrated impressive capabilities in controlled laboratory settings, they continue to struggle in the human-centric environments where embodied agents will ultimately need to operate.

Unlike curated benchmarks, human-centric environments are visually diverse, spatially complex, and constantly evolving. Homes, for example, are highly personalized spaces whose objects are not only functional but also reflect individual preferences through subtle visual characteristics. Their layouts reflect personal styles being tidy or messy, and change with everyday activities: a cup may be neatly stored in a cupboard, sitting beside a sofa while in use, or left among dirty dishes in the sink. Human communication is equally variable, with instructions that may be brief, ambiguous, or even erroneous depending on the context and the individual. Addressing this complexity and variability is a key step toward deploying embodied AI in everyday settings.

In this talk, I will present a series of our recent works that enable embodied agents to better understand complex scenes and natural-language instructions, with applications to language-guided navigation and object grasping. Together, these works illustrate how advances in multimodal perception and reasoning can bring embodied agents closer to robust operation in the real world.

Prof Viviana Patti, University of Turin

More information coming soon.

Dr Fabio Celli, Maggiolo Group

More information coming soon.