The integration of artificial intelligence and machine learning technologies into autism service provision represents both a tremendous opportunity and a significant ethical challenge for behavior analysts. As AI and ML tools become increasingly available for clinical applications, including automated data analysis, predictive modeling for treatment outcomes, natural language processing for communication support, and computer vision for behavioral coding, practitioners must develop frameworks for evaluating and implementing these technologies responsibly.
Provider: BehaviorLive — via Council of Autism Service Providers
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Join Free →This interactive panel discussion will introduce the CASP Values Statement regarding the ethical and effective use of Artificial Intelligence (AI) and Machine Learning (ML) in autism service provision. The statement and its partnered exemplars identify key principles and considerations prior to integrating AI/ML into organizations and their clinical practices. The discussion will emphasize the need for internal policy development that includes transparency, clinical engagement, individualization, protection, accountability, a balanced approach, and a commitment to excellence. By adhering to these values, CASP aims to ensure that AI/ML tools enhance, rather than replace, human expertise, while safeguarding the privacy, dignity, and rights of clients. This panel will provide insights into how organizations can responsibly adopt AI/ML technologies to improve service delivery and outcomes for individuals served. This is an interactive panel presentation, and the panel welcomes dialogue and questions during the presentation. Ethical Codes to Consider: 2.11 Obtaining Informed Consent 3.10 Responsibility to Clients
| Certification Body | Credits | Type |
|---|---|---|
| BACB® | 1 | Ethics |
| APA | 0 | — |
| COA | 1 | — |
Dr. Adam D. Hahs is the Chief Clinical Officer at Caravel Autism Health. He is the former Director of the Master of Science in Applied Behavior Analysis program in the Department of Psychology at Arizona State University and former Chief Science Officer at Hopebridge Autism Therapy Centers. He earned his doctoral degree from Southern Illinois University-Carbondale where his where his research foci were language generativity, complex human behavior, high-risk behavior assessment/reduction, and clinical behavior analysis with individuals with autism and related developmental disabilities, traumatic brain injuries, and addiction. Most recently, he received a certificate from Harvard University in Artificial Intelligence. Dr. Hahs was a Missouri Association for Behavior Analysis Board member for 3 years prior to moving to Arizona, and he was President for the Arizona Association for Behavior Analysis. He is on the Editorial Board of Behavior Analysis in Practice and serves as a guest reviewer for the Journal of Contextual Behavioral Science and Behavioral Interventions. He sits on the CASP AI/ML workgroup to author guidelines for thoughtful AI integration into ABA. Dr. Hahs has dedicated over 20 years to supporting and training others in a variety of settings via behavior analytic methods, and he views behavior analysis as science capable of facilitating widespread, societal change.
Dig into the research behind this topic — plain-English summaries written for BCBAs.
258 research articles with practitioner takeaways
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205 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.