Converging developments across the machine intelligence ecosystem––from multimodal sensing and signal processing to computing––are enabling new human-centered possibilities both in advancing science and in the creation of technologies for societal applications including in human health and wellbeing. This includes approaches for quantitatively and objectively understanding human behavior with a specific focus on multimodal communicative, affective and social behavior with applications in diagnostics and treatment across varied domains such as distressed relationships, depression, suicide, autism spectrum disorder, addiction to workplace health and wellbeing. There is increasing attention to creating that are inclusive, equitable, robust, safe and secure. It will also discuss the challenges and opportunities for creating trustworthy machine intelligence approaches that are inclusive, equitable, robust, safe, and secure e.g., with respect to protected variables such as gender/race/age/ability

Shrikanth (Shri) Narayanan is University Professor and Niki & C. L. Max Nikias Chair in Engineering at the University of Southern California (USC), where he is Professor of Electrical & Computer Engineering, Computer Science, Linguistics, Psychology, Neuroscience, Pediatrics, and Otolaryngology—Head & Neck Surgery, Director of the Ming Hsieh Institute and Research Director of the Information Sciences Institute. Prior to USC, he was with AT&T Bell Labs and AT&T Research. His interdisciplinary research focuses on human-centered sensing/imaging, signal processing, and machine intelligence centered on human communication, interaction, emotions, and behavior. He is a Fellow the Acoustical Society of America, IEEE, International Speech Communication Association (ISCA), the American Association for the Advancement of Science, the Association for Psychological Science, the Association for the Advancement of Affective Computing, the American Institute for Medical and Biological Engineering, and the National Academy of Inventors. He is a Guggenheim Fellow and member of the European Academy of Sciences and Arts, and a recipient of many awards for research and education. He has published widely and his inventions have led to technology commercialization including through startups he co-founded: Behavioral Signals Technologies focused on AI based conversational assistance and Lyssn focused on mental health care and quality assurance.

To be added soon after the seminar.