When: February 9th, 2026 9:00pm CST (recording will be available)
What: 1.5 ethics CEU event
Who: Melissa Druskis, M.S., BCBA, LBA, LCDC
Artificial intelligence is already showing up in ABA practice—from documentation support and material creation to idea generation and supervision workflows. When used thoughtfully, AI can support efficiency and reduce administrative burden. When used poorly, it can introduce real ethical, clinical, and professional risk.
This training is designed to help BCBAs understand how to use AI responsibly, not avoid it altogether. Participants will learn how AI fits within ethical practice standards, where professional judgment and oversight remain essential, and how to identify situations where AI use may cross into risk. The focus is on clarity, decision-making, and accountability—so behavior analysts can integrate AI as a support tool while protecting clients, supervisees, and their professional responsibility.
This is not a technical tutorial on AI tools. It is a practical, ethics-centered training grounded in real-world ABA practice.
Learning Objectives
Identify common ways AI is currently being used in ABA practice, including documentation, material creation, supervision support, and clinical workflow assistance.
Distinguish between ethically appropriate and ethically risky uses of AI based on professional standards, confidentiality considerations, and clinical responsibility.
Describe the BCBA’s role in maintaining oversight and accountability when AI tools are used by themselves, supervisees, or team members.
Recognize documentation, supervision, and data-related risks associated with AI use in applied behavior analysis.
Apply ethical decision-making frameworks to determine when and how AI can be used as a support tool without compromising client care or professional responsibility.
