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In Person
Pathways to Innovation Conference

AI in Behavioral Health: Promise & Responsibility

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Date & Time

Educational Goal

Ethical considerations, regulatory compliance, and best practices for responsible AI adoption are discussed, emphasizing transparency and the need to preserve human connection in care. Through real-world case studies, the presentation underscores that AI should enhance—not replace—human-centered behavioral health care.

Description

This presentation explores AI’s role in behavioral health, highlighting its ability to improve efficiency, accuracy, and accessibility while addressing ethical concerns. Key applications include AI-powered documentation, predictive analytics, and personalized treatment, all of which reduce clinician burden but raise challenges around data privacy, bias, and over-reliance on technology.

Presenters

Michael McCalpin
Michael McAlpin is an entrepreneur, IT architect, and business leader with 25 years of experience delivering innovative solutions in both healthcare and technology systems. He has worked for several companies, including Accenture, DirecTV, Chase, and Verizon, before founding his own software company in 2010. Since then, he has co-founded two other successful software ventures and serves on the board of several growing companies.

Michael earned his MBA from MIT, where he focused on sustainability in a resource-constrained world. He lives in Southern California and enjoys sailing, snowboarding, and traveling with his wife and four children.

In 2016, he co-founded Alleva, a leading behavioral health software company dedicated to improving patient care through cutting-edge technology. Under his leadership, Alleva has grown into a trusted platform that helps behavioral health providers streamline operations and enhance outcomes.

Michael will speak on AI’s role in behavioral health, highlighting its ability to improve efficiency, accuracy, and accessibility while addressing ethical concerns. Key applications include AI-powered documentation, predictive analytics, and personalized treatment, all of which reduce clinician burden but raise challenges around data privacy, bias, and over-reliance on technology.

Ethical considerations, regulatory compliance, and best practices for responsible AI adoption will be discussed, emphasizing transparency and the need to preserve human connection in care. Through real-world case studies, the presentation will underscore that AI should enhance—not replace—human-centered behavioral health care.