Expert Session: EXP-5: Toward trustworthy human-centered machine intelligence

Converging developments across the machine intelligence ecosystem, from sensing and computing to data sciences, are enabling new human-centered technology applications in domains ranging from health and defense to education and media arts. A critical aspect of this endeavor requires addressing two intertwined challenges: understanding and illuminating the rich diversity across people and contexts and creating trustworthy technologies that work for everyone. This talk will highlight, with exemplary use cases of bio-behavior sensing and inference for predicting human physical and psychological states (e.g., health status, stress levels), the challenges and opportunities in creating trustworthy signal processing and machine learning approaches that are inclusive, equitable, robust, safe and secure e.g., with respect to protected variables such as gender/race/age/ability etc.