The human side of AI leadership: Perspectives on transforming behavioral health
Wednesday, May 20, 2026 · 12:00 PM UTC · 60 min
Chris Huber Reitz, Alon Joffe, Signa Meyers, Carla Smith
About this webinar
This session was offered without continuing education credit. Artificial intelligence is moving through behavioral health faster than most organizations can evaluate it, and the exposure concentrates in the places that produce outcomes: the therapeutic relationship, clinical supervision, and the workforce holding both together. This panel covers what the technology demonstrably does, where human judgment cannot be substituted, and what clinical leaders should be asking of vendors and health systems before they adopt anything.
Artificial intelligence is being adopted across behavioral health faster than most organizations can evaluate it, and faster than the evidence base is accumulating. The question in front of clinical leaders has moved past whether to engage. What remains is how to engage without degrading the things that produce outcomes: the therapeutic relationship, the clinical supervision relationship, and the workforce that holds both together.
This session is a candid panel discussion among leaders making these decisions at operational scale, organized around five findings that came out of live deployments.
The first is that the use case matters more than the technology. Telling apart applications with documented clinical impact from applications delivering administrative efficiency is the distinction leaders need, and the two are often marketed in identical language. The second is that AI at the point of intake can expand access. One health system deploying AI-assisted intake screening reported a threefold increase in admit rates alongside equity gains for populations that have historically faced the highest barriers to care, and the panel is specific about the evidence they required before that deployment went ahead. The third is that the therapeutic relationship is not uniformly at risk, and the panelists are direct about where AI serves patients better than a person can and where the clinical and supervisory relationship has to stay human-directed.
The fourth finding is the one clinical leaders most consistently underweight: the significant failures in behavioral health AI adoption have been leadership failures, and the recurring patterns have very little to do with the software. The fifth is that workforce protection belongs inside the adoption conversation from the start, because the clinicians expected to work inside whatever gets adopted are rarely consulted before it is chosen.
Participants will leave able to distinguish AI applications with clinical evidence behind them from those offering efficiency claims alone, to identify the points in clinical and supervisory work where human judgment cannot be substituted, and with a concrete set of questions to put to a vendor or health system before adoption.
This session is appropriate for clinical leaders, clinical supervisors, and licensed and pre-licensed clinicians who will be practicing inside whatever their organization adopts. No technical background is assumed. Content level: intermediate.
Please note: as a moderated industry panel, this session presents practitioner experience and organizational data in place of a formal review of peer-reviewed literature.
This panel was recorded as a professional discussion and was not offered for continuing education credit. No CE certificate is available for viewing it.
Speakers
Chris Huber Reitz
Chris Huber Reitz has taught AI strategy and digital transformation as adjunct faculty at Columbia University for the past decade and has trained more than 15,000 people on the practical use of artificial intelligence. At the time of this panel, Huber Reitz was Senior Director of Enterprise AI at Elevance Health, leading applied AI work across a Fortune 25 health organization with a focus on digital health literacy and health equity, and has since become Chief of AI and Strategy at Essential Innovations and founded the AI solutions firm Attainable. Huber Reitz holds a master's degree in Information and Knowledge Strategy from Columbia University. The work throughout has concerned workforce transition and how trust is built between people and the systems they are asked to work alongside.
Alon Joffe
Alon Joffe is the co-founder and chief executive officer of Eleos Health, a company building AI documentation and clinical intelligence tools now used by roughly 40,000 behavioral health clinicians across 39 states. Eleos began with research rather than with a product. The founding team interviewed 400 clinicians, found them spending close to half their working hours on documentation instead of with clients, and built the company around closing that gap. Joffe has spent the years since leading AI deployment inside behavioral health organizations at scale, which is the direct subject of this panel, and previously worked in venture investment at New Era Capital Partners. Joffe is a Fellow at MIT and a graduate of Reichman University.
Signa Meyers
LPC
Signa Meyers, LPC, ICS, is a Licensed Professional Counselor and Independent Clinical Supervisor in good standing, and serves as Vice President of Strategic Initiatives at Rogers Behavioral Health, where the remit covers expanding access to care and leading the organization's telehealth work. Meyers also holds oversight of outpatient psychiatric services, including psychiatric evaluation, medication management, and TMS. More than twenty years in behavioral health preceded that appointment, spanning the full continuum of care from crisis services through outpatient and partial hospitalization. Meyers joined Rogers in 2017 as director of operations in Appleton and was promoted to executive director in 2019, and holds a master's degree in counseling from Lakeland University and a bachelor's degree in psychology from the University of Southern Maine.
Carla Smith
PhD, LCSW, LMFT
Carla Smith, PhD, LCSW, LMFT, is the Chief Clinical Officer at Motivo, where she leads clinical quality, compliance, and the standards governing supervision and continuing education across the platform. She is licensed as a clinical social worker and as a marriage and family therapist in Georgia, Maryland, Virginia, and the District of Columbia, all in good standing, and is the founder of Haven Therapy and Wellness. Before joining Motivo, Dr. Smith spent eight years at Mercer University School of Medicine as Assistant Program Director and Assistant Professor, overseeing clinical training for master's students in the Marriage and Family Therapy program. She holds a PhD in Human Development and Family Science with a specialization in Marriage and Family Therapy and an MSW in clinical social work, both from the University of Georgia. Her research and teaching center on clinical supervision, cultural humility, and therapist development.
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