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<p>The use of artificial intelligence (AI) in applied behavior analysis (ABA) services has received increasing attention from researchers and practitioners. Although the integration of AI in the field is still in its early stages, several studies have explored how AI may support ABA service delivery. These studies suggest promising applications while also highlighting areas that require further investigation, including ethical considerations. Hence, the purpose of the current study was to examine the perceptions of Board-Certified Behavior Analysts (BCBAs®) regarding the role of AI in understanding, implementing, and evaluating ethical concerns across the domains of the BACB® Test Content Outline. Participants were 111 US-based BCBAs who completed an online questionnaire. Quantitative and qualitative data were collected using Likert-scale and open-ended questions. Results indicated that participating BCBAs reported relatively cautious views toward the use of AI in ABA, particularly regarding its role in implementing clinical practices, with concerns related to ethical decision-making, reduced individualization of interventions, and potential risks to client confidentiality. Limitations and implications for research and practice are discussed.</p>

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It Should Support, Not Replace: BCBAs’ Perceptions of AI and the Test Content Domains

  • 期刊论文

  • 发表日期：

    2026年5月8日

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  • Rayan Alqunaysi,
  • Hedda Meadan,
  • Melanie R. Martin Loya

摘要

The use of artificial intelligence (AI) in applied behavior analysis (ABA) services has received increasing attention from researchers and practitioners. Although the integration of AI in the field is still in its early stages, several studies have explored how AI may support ABA service delivery. These studies suggest promising applications while also highlighting areas that require further investigation, including ethical considerations. Hence, the purpose of the current study was to examine the perceptions of Board-Certified Behavior Analysts (BCBAs®) regarding the role of AI in understanding, implementing, and evaluating ethical concerns across the domains of the BACB® Test Content Outline. Participants were 111 US-based BCBAs who completed an online questionnaire. Quantitative and qualitative data were collected using Likert-scale and open-ended questions. Results indicated that participating BCBAs reported relatively cautious views toward the use of AI in ABA, particularly regarding its role in implementing clinical practices, with concerns related to ethical decision-making, reduced individualization of interventions, and potential risks to client confidentiality. Limitations and implications for research and practice are discussed.