Generations in Dialogue: Bridging Views in AI is a podcast from AAAI that includes thought-provoking discussions between AI consultants, practitioners, and fanatics from totally different age teams and backgrounds. Every episode delves into how generational experiences form views on AI, exploring the challenges, alternatives, and moral concerns that include the development of this transformative expertise.
Human-robot interactions and social robotics with Professor Marynel Vázquez
Within the fourth episode of this new sequence from AAAI, host Ella Lan chats to Professor Marynel Vázquez about what impressed her analysis route, how her perspective on human-robot interactions has modified over time, robots navigating the social world, potential for utilizing robots in training, modeling interactions as graphs, addressing misunderstandings on the subject of robots in society, getting enter from goal customers, the problem of recognising when errors occur, making robots that adapt, and extra.
About Professor Marynel Vázquez:
Marynel Vázquez is a pc scientist and roboticist whose analysis focuses on Human-Robotic Interplay (HRI), notably in multi-party settings. She research social group dynamics—similar to spatial habits and social affect—in HRI, and develops notion and decision-making algorithms that allow autonomous, socially conscious robotic habits. A central theme in her work is modeling interactions as graphs, permitting robots to purpose about people, relationships, and teams concurrently. Her interdisciplinary method combines pc science, behavioral science, and design, and he or she enjoys constructing new robotic programs and analysis infrastructure to deliver theoretical concepts into real-world apply.
Concerning the host
Ella Lan, a member of the AAAI Pupil Committee, is the host of “Generations in Dialogue: Bridging Views in AI.” She is keen about bringing collectively voices throughout profession phases to discover the evolving panorama of synthetic intelligence. Ella is a pupil at Stanford College tentatively learning Pc Science and Psychology, and he or she enjoys creating areas the place technical innovation intersects with moral reflection, human values, and societal impression. Her pursuits span training, healthcare, and AI ethics, with a deal with constructing inclusive, interdisciplinary conversations that form the way forward for accountable AI.
Affiliation for the Understanding of Synthetic Intelligence (AAAI)
