Association for Behavior Analysis International

The Association for Behavior Analysis International® (ABAI) is a nonprofit membership organization with the mission to contribute to the well-being of society by developing, enhancing, and supporting the growth and vitality of the science of behavior analysis through research, education, and practice.


50th Annual Convention; Philadelphia, PA; 2024

Event Details

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Panel #380
CE Offered: BACB — 
Are We Racing Towards Automating Applied Behavior Analysis (ABA)? Ensuring Ethical Artificial Intelligence (AI) Tools in ABA
Monday, May 27, 2024
8:00 AM–8:50 AM
Convention Center, 100 Level, 113 C
Area: AUT/PCH; Domain: Service Delivery
CE Instructor: Ryan Lee O'Donnell, M.S.
Chair: Lucas Evans (Missouri Division of Developmental Disabilities)
DAVID J. COX (RethinkFirst; Endicott College)
DIMITRIOS V. MAKRIDIS (Makridis Learning, LLC; Explanatory Fiction)

Beyond the buzz of AI, the field of Applied Behavior Analysis (ABA) finds itself at a pivotal juncture. Big data has long been integral to healthcare, while technology has bolstered training and decision-making. What sets this era apart? Three shifts have reshaped the landscape. First, exponential increases in computing power, coupled with cost reduction, has unlocked opportunities that make the advent of artificial BCBAs imminent, heralding a reimagination of Skinner's teaching machine. Second, progress in computer vision and wearable sensors allows for increasingly precise automated measurement of behavior and the environment in non-laboratory treatment settings. Third, increasing scrutiny of ABA practices and calls for proving ROI for services rendered. Accusations of abuse, inefficacy, and fraud cast shadows over the field, triggering intensified regulatory oversight. This panel delves into the impact of technology on clinical care in ABA. Experts explore how AI-powered tools and quantitative analyses are elevating clinical training, treatment planning, outcome monitoring, and decision-making. We scrutinize the benefits and liabilities of technology integration, ensuring that ethical, privacy, and regulatory considerations remain at the forefront. As behavior analysts navigate the intersection of advanced tools with ethical obligations, we discuss ways to harness technology's potential while preserving the human-centric insights of behavior analysis.

Instruction Level: Basic
Target Audience:

Entry-level service providers and practitioners that supervise or oversee critical training and compliance systems within behavior analytic practice.

Learning Objectives: 1) Identify the difference between artificial intelligence and machine learning. 2) Identify situations in which a practitioner of behavior analysis could effectively use publicly available commercial AI tools (e.g., Chat GPT). 3) Identify situations in which a practitioner of behavior analysis could be violating ethical standards using publicly available commercial AI tools (e.g., Chat GPT). 4) Identify artificial intelligence tools being developed by behavior analysts and timelines for their use and applicability.
Keyword(s): algorithms, artificial intelligence, ethics, machine learning



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Modifed by Eddie Soh