In many ways, your device knows more about you than your closest friend. With artificial intelligence (AI) techniques, could that someday be in your best interest? Currently, assessments in health care are primarily physical or biological in nature. Scalable psychological information is mostly limited to subjective reports or limited questionnaires. For the first time in human history, a substantial portion of our daily language behaviors is digitally recorded. With care taken for privacy and security, this “digital phenotype” could transform psychological assessments and decisions in health care that can ultimately save lives. However, most of our techniques in AI for analyzing language do not model the person behind the words, let alone optimize toward their psychological well-being.
In this talk, Andrew Schwartz presents a case for the power of the digital phenotype, combined with AI, to assess psychological attributes and future health-related behaviors with often unprecedented performance. Overall, he suggests a path toward overcoming these challenges will ultimately enable a more robust and powerful AI-based digital phenotype, capable of saving lives.
Andrew Schwartz, Assistant Professor of Computer Science at Stony Brook University