When humans talk to each other face-to-face, they use their voices, faces, and bodies together in a rich, multimodal, continuous, interactive process. For a robot to participate fully in this sort of natural, face-to-face conversation in the real world, it must also be able not only to understand the social signals of its human partners,
Moral judgments are inherently social, shaped by interactions with others in everyday life. Despite this, psychological research has rarely examined the impact of social interactions on these judgments. In our study, we explored the role of group dynamics in moral decision-making by having small groups (4-5 participants) evaluate moral dilemmas first individually, then collectively, and
More info will follow soon. This talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning,” which explores how advances in machine learning are helping robots operate in new environments, learn new behaviors, and adapt to changing conditions.
Giovanni Beltrame is a Professor in the Department of Computer and Software Engineering at Polytechnique Montréal, where he leads the Making Innovative Space Technology (MIST) Laboratory. At MIST Lab, Giovanni is conducting projects in collaboration with industry and government agencies in areas such as robotics, disaster response, and space exploration. His research interests include the
In this presentation Stephen M. Fiore will provide an overview of a body of research in social cognition and its relation to developing artificial social intelligence. In the rapidly evolving landscape of artificial intelligence (AI), an important research direction is the development of systems that can work alongside and collaborate with humans as actual teammates.
The EU AI Act introduces new obligations for providers and deployers of AI systems. In this presentation, we will discuss the scope of the AI Act, the different qualifications of AI systems under the act and the related obligations or requirements. We also provide a look ahead at key deadlines, the status of standards and
Modern AI systems such as LLMs are pervasive and helpful, but do they really have the social intelligence to seamlessly and safely engage in interactions with humans? In this talk, Maarten Sap will delve into the limits of social intelligence of LLMs and how we can measure and anticipate their risks. He will introduce Sotopia,
More details to follow. Photo by Michael Dziedzic on Unsplash.
More info will follow soon. This talk will take place as part of SCIoI member Svetlana Levit’s seminar “Selected Topics in Robot Learning,” which explores how advances in machine learning are helping robots operate in new environments, learn new behaviors, and adapt to changing conditions.
Humanoid robots have recently received a lot of attention and enthusiasm in the robotics community and beyond. Indeed, with new technological advancements, they hold the promise to become our assistants in daily lives, as general-purpose machines. In this talk, however, Agnieszka Wykowska will focus on a different, less explored, way of using humanoids - as
From the foraging of ungulates and primates to the bait balls of fish and the murmurations of starlings, the dynamics of animal groups fascinate us with the mystery of their underlying social interactions. Identifying unique and common traits across systems can help us understand the self-organized mechanisms of their emergence, as well as the ecological
More info to follow.
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