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1 BACB General CEUs $25 53 min On-Demand

General CEU: Building Bridges With AI: Increasing Equity and Access to Care

Building Bridges With AI: Increasing Equity and Access to Care is the kind of topic that looks straightforward until it collides with the speed, ambiguity, and competing demands of clinic sessions and day-to-day service delivery. In Building Bridges With AI: Increasing Equity and Access to Care, for this course, the practical stakes show up in faster workflow without clinical drift, privacy loss, or weak oversight, not in abstract discussion alone.

Provider: BehaviorLive — via Shaping AI

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Course Description

This 60-minute panel delivers practical strategies for using advanced AI to reduce wait times, ease caregiver burden, and expand language access—while staying squarely within ABA standards. Host Beth Ramos, BCBA (Shaping AI) interviews Amol Deshpande (CEO, Frontera), Dr. Joanne Hill-Powell, and Ashleigh Dominguez from the Frontera Starter Fellowship to unpack clinic-tested workflows. Panelists show how to operationalize "access" in diverse contexts (including multilingual and rural families), select one sensitive metric (e.g., median days to first appointment or referral-to-first-contact), and track change with simple displays (run chart or pre/post) using a minimal weekly dataset. Attendees will learn to draft plain-language consent that accurately explains AI assistance and to use brief caregiver questions to confirm that changes improve access, not just administrative speed. The session also applies a BACB-aligned decision checklist (Applied, Effective, Generality plus privacy/consent) to distinguish assistive automation vs. over-reliance, name concrete safeguards (role boundaries, data minimization, audit trail), and outline a basic breach-response step appropriate to clinic policy.

What You'll Learn

  1. Identify and justify one sensitive access metric for your setting (e.g., median days to first appointment or referral-to-first-contact), and specify the minimal weekly dataset (denominator, inclusion/exclusion).
  2. Explain AI clearly to families and compose a 1–2 sentence, plain-language consent clearly defining AI assistance accurately and transparently.
  3. Differentiate "assistive automation" from "over-reliance"; and name two safeguards (e.g., role boundaries, audit trail/PHI minimization, spot TI checks) and one breach-response step appropriate for your setting.

CEU Credits Earned

Certification BodyCreditsType
BACB® 1 General
COA 0

About the Instructor

BR
Beth Ramos
M.Ed. BCBA

Beth Ramos, BCBA, is a behavioral-health innovator, educator, and ethics advocate whose work bridges the gap between science, technology, and compassionate care.  Beth’s mission is to help clinicians ACT Mindfully with AI by curating research-backed resources & ethical frameworks to advance behavior analytic work. She envisions a future where collaboration enhances ethical decision-making, transparency, and compassionate quality care. With over two decades of experience across ABA, education, and Organizational Behavior Management, Beth has led teams in both clinical and operational settings, guided process improvements, and supported organizations through change management and digital transformation. Her work reflects a deep respect for behavior analysis and a vision for how AI Literacy can amplify reach without compromising core values and pillars of ABA.   Beth's current focus is on advancing ethical, applied, and accessible approaches to integrating AI in ways that enhance clinical decision-making rather than replace it. Beth's commitment to upholding integrity in these advancements is reflected in her role on the membership committee on the AI Consortium for ABA (AIC-ABA) group. https://www.aiaba.org/  She led conference presentations and workshops at ABAI DC & CalABA 2025 where she connected thought leaders, researchers, stakeholders, and clinicians to drive meaningful progress through disseminating the latest information on AI for behavior-analytic practices in applied contexts. These programs embody her belief that the future of behavior analysis depends on practitioners who are both technologically fluent and ethically grounded.  As Co-Founder of Shaping AI, Beth curated a line-up of researchers, leaders and innovators at the intersection of AI and ABA providing CEUs to prepare behavior analysts for the future of work. As the Founder and CEO of Collab Labs, Beth helps ABA organizations design and implement responsible, human-centered AI workflows. She specializes in creating behavior change systems that turn complex ideas (like “AI transformation” or “automation”) into concrete, measurable, and ethical outcome that improve access to care, reduce administrative burden, and maintain clinical quality. As a fractional Advisor for AI in ABA products, Beth collaborates with startups and product teams to ensure that emerging AI tools align with ethical principles, professional standards, and the day-to-day realities of clinical practice. She provides input on model design, evaluation metrics, and implementation strategies that prioritize both data integrity and human dignity.  She partners with clinics, researchers, and digital-health startups to ensure that innovation remains transparent, defensible, and client-centered. Through her leadership at Collab Labs and the AIC-ABA group, she continues to shape conversations that ensure innovation in Behavior Analysis remains both groundbreaking and grounded in humanity.linkedin.com/in/bethcollab

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Clinical Disclaimer

All behavior-analytic intervention is individualized. The information on this page is for educational purposes and does not constitute clinical advice. Treatment decisions should be informed by the best available published research, individualized assessment, and obtained with the informed consent of the client or their legal guardian. Behavior analysts are responsible for practicing within the boundaries of their competence and adhering to the BACB Ethics Code for Behavior Analysts.

60+ Free CEUs — ethics, supervision & clinical topics