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It Should Support, Not Replace: BCBAs' Perceptions of AI and the Test Content Domains
Rayan Alqunaysi1, Hedda Meadan2, Melanie R Martin Loya3
1Department of Special Education, Prince Sattam Bin Abdulaziz University, Al-Kharj City, Saudi Arabia.
Behavior Analysis in Practice
|June 22, 2026
Summary
Board-Certified Behavior Analysts (BCBAs) express caution regarding artificial intelligence (AI) in applied behavior analysis (ABA). Concerns focus on AI
Area of Science:
- Behavioral Science
- Artificial Intelligence
- Clinical Psychology
Background:
- Artificial intelligence (AI) integration in applied behavior analysis (ABA) is emerging.
- Existing research highlights AI's potential benefits and ethical considerations in ABA.
Purpose of the Study:
- To investigate Board-Certified Behavior Analysts' (BCBAs) perceptions of AI's role in ABA.
- To examine BCBA views on AI concerning ethical understanding, implementation, and evaluation within the BACB® Test Content Outline.
Main Methods:
- Online questionnaire distributed to 111 US-based BCBAs.
- Collected quantitative (Likert-scale) and qualitative (open-ended) data.
Main Results:
- BCBAs demonstrated cautious attitudes towards AI in ABA, especially in clinical practice implementation.
- Key concerns included ethical decision-making, intervention individualization, and client confidentiality risks.
Conclusions:
- Further research is needed to address BCBA concerns about AI in ABA.
- Ethical frameworks and practical guidelines are necessary for responsible AI adoption in ABA services.
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