Project in Prairie
Justine Cassell will address issues at the intersection of NLP, AI, Cognitive Science, and Human-Computer Interaction, employing methods from each of these traditions, and developing new interdisciplinary methods. Her goal is to develop theories, architectures, algorithms, and implementations of embodied conversational agents capable of engaging people in natural dialogue, including both task and social components, language and non-verbal behavior. She will participate in the PSL AI graduate school.
There is a need for a more human-centered design of AI systems so that they may act as partners and teammates to people rather than their replacements. My work in Social AI attempts to address these design challenges by basing AI agent behavior on a close study of human collaboration and teamwork, thereby working towards fulfilling their societal promise, as well as advancing fundamental areas of AI as diverse as natural language generation and transparency in machine learning.









