AI BEYOND EVIL ROBOTS: ENSURING TRANSFORMATIVE MEANS BETTER

The rapid development of modern machine learning methods, and accelerating adoption across medicine, promises to transform the practice of psychiatry as well. This presentation will review some of the less-appreciated promise of these technologies, including clinical decision support, biomarker development, treatment discovery, and delivery of evidence-based psychotherapies. It will also consider the challenges, most notably their potential to adversely impact mental health at the individual and population level. It will emphasize ways in which changes across medicine may have implications for mental health care as well. Finally, the presentation will suggest strategies that may help to ensure that applications of AI maximize the ability of psychiatrists and other clinicians to deliver high-quality care at scale.

Learning Objective 1: Understand ways in which artificial intelligence may enhance care delivery in psychiatry

Learning Objective 2: Describe potential adverse consequences of increased use of AI in terms of public health as well as individual mental health care.

References

Perlis RH, Differences in psychiatric documentation and management in primary care with artificial intelligence scribe use, JAMA Psychiatry, in press. Perlis RH, Artificial Intelligence can transform mental health, but not necessarily for the better, JAMA Psychiatry, in press. 9:30 a.m. - 11:30 a.m. Update from Federal and Other Funding Agencies Plenary