Room Sala Seminari, U14
The situated nature of trust in human-AI interaction
Speaker
M. Antonietta Grasso, PhD
Naver Labs Europe, Grenoble (F)
Abstract
Trust in AI technology relies on a trust-building process that considers both context and the practical reasoning of users. This presentation uses examples from social robots concerning data acquisition and usage and extends these findings to other AI technologies, such as LLMs. It argues that trust is context-dependent and that any development aimed at creating trustworthy AI can benefit from continuous monitoring and system behavior updates based on transparent, locally defined AI principles.
Bio
M. Antonietta Grasso is Principal Scientist at NAVER LABS Europe, located in France and owned by the Korean internet giant Naver. NAVER LABS Europe is the largest private AI lab in France. Her work focuses on research in Human-Machine Interaction and Human-Robot Interaction. As Principal Scientist, she plays a cross-functional role across the various research groups within the Interactive Systems group, aiming to define interdisciplinary projects for the application and evaluation of machine learning techniques. Her research contribution lies in identifying user needs and informing technology development to meet them, mainly through qualitative studies. Recently, she has been studying the Ethics of AI to inform the design of privacy aware robotics and trustworthy interaction with AI enabled technology.
contact person for this Seminar: prof. Federico Cabitza (federico.cabitza@unimib.it)