Ethics of AI in Clinical Practice

Join us on Wednesday, May 14th from 12–1pm PT for a lively roundtable on the ethical considerations of using AI in clinical practice.

This session, co-sponsored by the Artificial Intelligence for Mental Health initiative, will bring together Jane Kim, Ph.D., Ashleigh Golden, Psy.D., and Tuomas Vestirinen, Ph.D., of Stanford University, for a thought-provoking discussion moderated by Tech Hub Leadership Committee member, Nicole Martinez-Martin, J.D., Ph.D., who specializes in biomedical ethics. Together, they will explore the ethical questions clinicians face when integrating AI into mental health care - highlighting both risks and opportunities, and offering practical guidance for navigating this rapidly evolving landscape.

Topics to include:

• Overview of the Framework for AI Tool Assessment in Mental Health (FAITA–Mental Health), a new scale for evaluating AI-powered mental health tools
• Ethical and fair implementation of AI in clinical settings that supports strong clinician-patient relationships
• Designing AI tools that reflect real-world clinical needs and include input from patients, providers, and other stakeholders
• How AI is shaping clinical judgment and ethical decision-making in practice
• Developing standards for the ethical use of AI in patient care, informed by physician perspectives

Meet the speakers:

Jane Paik Kim, Ph.D., is a Clinical Associate Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine. Her research centers on data-driven approaches to address ethical questions arising from clinical innovation, particularly the integration of AI tools into healthcare. Dr. Kim is also a key contributor to the Department’s new AI for Mental Health initiative, where she plays a central role in the Ethics and Rigor Core, helping to drive the initiative’s overarching goals.

Tuomas Vesterinen, Ph.D., is a postdoctoral researcher at Stanford. He specializes in the philosophy of psychiatry and ethics of artificial intelligence, with additional interests in philosophy of mind and anthropology. His interdisciplinary research at Stanford focuses on the ethical, conceptual, and social consequences that arise from employing artificial intelligence in psychiatry and mental healthcare. His dissertation in philosophy, titled “Socializing Psychiatric Kinds” (University of Helsinki, 2023), examines the role of social factors and non-epistemic values in the classification and explanation of psychiatric disorders. At Stanford, Tuomas is affiliated with the Scandinavian Consortium for Organizational Research (SCANCOR) and the anthropology department. He is also a member of the Robophilosophy, AI Ethics and Datafication (RADAR) research group and the Centre for Philosophy of Social Science (TINT) at the University of Helsinki.

Ashleigh Golden, PsyD, RPsych, HSP, ACT, is Vice President of Psychology at Wayhaven, an AI mental well-being coach for college students, and Adjunct Clinical Assistant Professor, Stanford University School of Medicine, Department of Psychiatry and Behavioral Sciences. She has held clinical product leadership roles at multiple digital behavioral health startups, including Woebot Health, Lark Health, and Brightside Health. Dr. Golden is a founding member of Therapists in Tech and WELL for Digital Health. She has been recognized as a Forbes healthcare innovator and Digital Health Canada Emerging Health Leader. She has a special interest in crafting standards for the responsible development and evaluation of generative AI (genAI) in mental health care, having co-developed the Framework for AI Tool Assessment in Mental Health (FAITA-Mental Health) with Elias Aboujaoude, MD, MA. Dr. Golden serves on the American Psychological Association's inaugural Mental Health Technology Advisory Committee, where she co-leads the Ethics Subcommittee, and co-chairs the Association for Behavioral and Cognitive Therapies' Technology Committee's AI Subcommittee. She also serves on the Society for Digital Mental Health's Industry Special Interest Group and is involved with several other national organizations developing guidelines for the ethical use of genAI in health care.

CME credits: You may be eligible to receive CME credits for attending this Hubinar. More information will be provided at the start of the event. If you have questions, please email pippa@stanford.edu. 

Link to join: https://stanford.zoom.us/j/92177410603?pwd=jECQ6AQp0BfyrK0DacBqdB4AanFVKK.1&from=addon