Talk @LASIGE, por Shlomo Berkovsky (Macquarie University).
Human users are being increasingly supported by technology in a wide range of tasks and domains. Over the recent decades, the technologies have evolved dramatically: from simple decision-support tools, through recommender systems, to Generative AI. Nonetheless, the asymmetry of the human-technology teams remains stable; namely, the efficiency of the technology is generally superior to the human's, while the decisions (in particular, mission-critical) are predominantly made by the human. This brings to the fore the need for accurate modelling and adaptive calibration of human trust in such collaborative teams, to ensure harmonious human-technology interaction and effective functioning of the team as a whole. This talk will overview the research into trust in human-technology teams, and discuss open challenges and future directions in the light of the recent advent and wide dissemination of Generative AI.
Short Bio: Shlomo Berkovsky is a computer scientist, with theoretical and applied expertise in areas related to human-centric application of AI. His original research areas include user modelling and personalised technologies and he currently leads the Interactive Medical AI stream at the Centre for Health Informatics, Macquarie University. The stream focusses on the use of AI methods to develop personalised predictions of diagnosis and care, and studies how sensors can be deployed to predict medical conditions, and how clinicians interact with health technologies. He has a sustained record of research leadership, evidenced by publications at top outlets, editorship of the ACM TiiS journal, conference best paper awards, keynote talks and tutorials, sustained research funding stream, and leading research programs.
