Ai Vendor Engagement is the kind of topic that looks straightforward until it collides with the speed, ambiguity, and competing demands of documentation workflows, supervision meetings, treatment planning, and quality review. In Ai Vendor Engagement, 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: CASP CEU Center
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Join Free →AI Vendor Engagement Before And After Deployment of Technology Short Title: AI Vendor Engagement Original Air Date: February 24, 2026 CEU offered: 1.0 BACB Learning CEU Webinar Duration: 60 minutes Instructors: Alexandra Tomei, MEd, BCBA, LBA Summer Gainey, PhD, LBA, BCBA-D Melissa Olive, PhD, BCBA-LBA David Cox, MSB, BCBA-D Abstract: p.p1 {margin: 0.0px 0.0px 12.0px 0.0px; font: 12.0px Times; -webkit-text-stroke: #000000} li.li2 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Times; -webkit-text-stroke: #000000} span.s1 {font-kerning: none} ol.ol1 {list-style-type: decimal} As artificial intelligence (AI) tools increasingly enter applied behavior analysis (ABA) service delivery, behavior analysts must ensure that innovation does not outpace ethical responsibility, clinical integrity, and regulatory compliance. This presentation provides a structured framework for evaluating and embedding AI systems into ABA organizational workflows using four core pillars identified in the CASP AI guidance: data security, technical transparency, evaluation frameworks, and domain expert involvement. Participants will examine how AI tools intersect with client privacy protections, professional accountability, and Generally Accepted Standards of Care (GASC). The session will review essential safeguards such as encryption, audit trails, and regulatory compliance (e.g., HIPAA), as well as indicators of technical transparency, including explainability, bias mitigation, validation practices, and risk management. Attendees will also explore how structured evaluation frameworks and ongoing domain expert oversight protect against clinical misuse, deskilling, and ethical drift. Through guided discussion and applied vendor-evaluation questions, participants will learn how to critically assess AI products to ensure they enhance—rather than replace—clinical judgment. This presentation supports ethical decision-making and responsible technology integration in ABA practice while maintaining
| Certification Body | Credits | Type |
|---|---|---|
| BACB | 1 | General |
Dig into the research behind this topic — plain-English summaries written for BCBAs.
252 research articles with practitioner takeaways
183 research articles with practitioner takeaways
177 research articles with practitioner takeaways
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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.