The Behavioral View 4.7: Ethics and AI Development in ABA
Release Date: 07/25/2024
The Behavioral View 5.6: Robots in ABA Research with Madeline Jürgensen
The Behavioral View
This episode features a comprehensive discussion of research examining socially assisted robotics for children with autism. Madeline Jürgensen presents findings from two single-case design studies that investigated whether children with autism would attend to and learn from a small humanoid robot called Kebbi. The first study used a multiple baseline design to measure attending behaviors, revealing dramatic increases in eye contact and engagement when children worked with the robot versus human instructors. The second study employed an adaptive alternating treatment design to compare learning...
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The Behavioral View 5.5: UX Research and Applied Behavior Analysis with Haley Scheer
The Behavioral View
This episode explores the intersection between applied behavior analysis and user experience (UX) research, demonstrating how behavior analysts can apply their skills in technology and design fields. The discussion focuses on transferable skills including interview techniques, observational methods, and behavioral assessment strategies that are valuable in UX research. Participants will learn about effective approaches to gathering stakeholder information, understanding user needs, and applying behavior analytic thinking to improve product design and user interfaces. The content emphasizes how...
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The Behavioral View Episode 5.4: What’s Next? ABA and DEI with Jeron Trotman and Deterrence Allen
The Behavioral View
This podcast episode explores the critical topic of cultural responsiveness in behavior analytic practice, with a specific focus on understanding and addressing implicit biases that may affect service delivery. The discussion examines how unconscious racial biases and attitudes impact healthcare delivery broadly and connects these concepts specifically to behavior analytic services. The presentation advances knowledge of ethics by examining the ethical implications of cultural responsiveness and implicit bias in behavior analytic practice, helping behavior analysts fulfill their ethical...
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The Behavioral View Episode 5.3: Creating a Quality Framework for ABA Organizations with Olivia Banks and Jessica Gruber
The Behavioral View
This podcast episode features Olivia Banks and Jessica Gruber from The Place for Children with Autism, who share their organization's journey implementing a comprehensive quality assurance framework. The discussion covers how they developed their Assessment of Service Delivery Quality (ASDQ) framework based on Silva and El Fattal's (2021) article, including the process of identifying internal quality standards, incorporating external guidelines, creating assessment tools, implementing quarterly evaluations, analyzing data, and developing targeted interventions. The presenters provide practical...
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The Behavioral View Episode 5.2: Supporting Parents - A Conversation with Shahla Alai-Rosales
The Behavioral View
In this episode of The Behavioral View podcast, Shannon Hill and Nissa Van Etten talk with Shahla Ala'i Rosales, co-author of "Between Now and Dreams: Responsible and Responsive Parenting in Autism," and Jamie Mish Smith, a parent of a child with autism. The conversation explores the evolving relationship between behavior analysts and parents, emphasizing the importance of perspective-taking, lifelong learning, building connections, and acknowledging the role of love in the work of behavior analysis. The discussion addresses how behavior analysts can better support parents through...
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The Behavioral View Episode 5.1: Visual Analysis & AI: A Conversation with Rick Kubina
The Behavioral View
This Season 5 Premier explores the current state and future possibilities of visual analysis in behavior analysis, with particular focus on how artificial intelligence may enhance these practices. Dr. Kubina discusses limitations in current visual analysis practices, including inconsistent application of analysis techniques, lack of standardization in graph construction, and reliability issues in interpretation. The discussion extends to how AI tools might support more comprehensive and consistent visual analysis while maintaining the essential role of human judgment. The conversation includes...
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The Behavioral View Episode 4.12: The Future of Behavior Analysis: AI, Technology and Training with Expert Panel
The Behavioral View
This panel discussion examines critical considerations as artificial intelligence and automation technologies become increasingly integrated into behavior analytic practice. Expert panelists explore the implications of AI for clinical decision-making, documentation, training, and equitable service delivery while emphasizing the importance of maintaining human clinical judgment and ethical practice. The discussion highlights both opportunities and risks, providing behavior analysts with key considerations for evaluating and implementing AI tools in their practice while maintaining professional...
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The Behavioral View 4.11: Psychology and ABA with Lauryn M. Toby, PhD., BCBA & Erica S. Ranade, SSP, NCSP, BCBA, LBA, LPP
The Behavioral View
This episode explores the historical relationship between psychology and behavior analysis, examining both the separation of the fields and current movements toward reconciliation. The discussion features experts with dual credentials in psychology and behavior analysis who share insights on how combining perspectives from both fields can enhance clinical practice. Topics include the importance of understanding child development, assessment practices, therapeutic skills, and creating person-centered treatment plans. The presenters emphasize the value of interdisciplinary collaboration and...
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The Behavioral View 4.10: Growing Your Supervisory Skills with Amber Valentino, PsyD, BCBA-D
The Behavioral View
This episode of The Behavioral View podcast explores the critical topic of supervisory skills in applied behavior analysis. Featuring Amber Valentino PsyD, BCBA-D, the discussion centers around her recent publication on objectively evaluating supervisory behaviors in practice. The conversation delves into the importance of "soft skills" in supervision, strategies for creating a supportive supervisory environment, and methods for giving and receiving feedback. Participants will gain insights into current research on supervision practices and practical tips for improving their supervisory...
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The Behavioral View Episode 4.9: Upskilling RBTs and Career Pathing with Claire Ellis
The Behavioral View
This episode of The Behavioral View podcast focuses on supervision strategies for upskilling RBTs and career pathing, featuring guest Claire Ellis, BCBA, National Director of Clinical Training and Development at Acorn Health. The discussion explores how supervisors can support various career paths for RBTs beyond becoming BCBAs, including roles in training, recruitment, scheduling, and outreach. The panel examines the supervisor's role in developing both technical and soft skills in RBT training programs, with a detailed look at Acorn Health's Clinical Readiness Program. Supervisors will gain...
info_outlineThis podcast episode features a discussion on the ethical development and use of AI in the field of Applied Behavior Analysis (ABA). The panel, consisting of CentralReach subject matter experts, explores the potential benefits and challenges of integrating AI into ABA practice. They share insights on how AI can be used to enhance efficiency, support clinical decision-making, and maintain high ethical standards. The conversation also expounds upon the importance of transparency, client consent, and the evolving role of behavior analysts in the context of advancing technologies.
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Show Notes
References and Resources:
- American Nurses Association, ANA Center for Ethics and Human Rights, (2022). The ethical use of artificial intelligence in nursing practice. www.nursingworld.org
- CentralReach (2024). Ethical AI integration in ABA: A framework for success. https://www.youtube.com/watch?v=uyvBEuUfRbA
- Cedars Sinai, (2024). Pursuing the ethics of artificial intelligence in healthcare. https://www.cedars-sinai.org/newsroom/pursuing-the-ethics-of-artificial-intelligence-in-healthcare/
- Cox, D. J., & Jennings, A. M. (2024). The promises and possibilities of artificial intelligence in the delivery of behavior analytic services. Behavior Analysis in Practice, 17, 123-136.
- Beam, A. L., & Kohane, I. S. (2018). "Big data and machine learning in health care." JAMA, 319(13), 1317-1318.
- Ford, E., et al. (2016). "Extracting information from the text of electronic medical records to improve case detection: a systematic review." Journal of the American Medical Informatics Association, 23(5), 1007-1015.
- Ghafghazi, S., Carnett, A., Neely, L., Das, A., & Rad, P. (2021). AI-Augmented behavior analysis for children with developmental disabilities. Cybernetics Magazine, Vol (10).
- Grote, T., & Berens, P. (2023). A paradigm shift? On the ethics of medical large language models. Bioethics, 38, 38-390. DOI: 10.1111/bioe.13283
- Hosny, A., et al. (2018). "Artificial intelligence in radiology." Nature Reviews Cancer, 18(8), 500-510.
- Panesar, S., et al. (2019). "Machine learning in neurosurgery: a systematic review." Neurosurgical Focus, 46(5), E2.
- Rajkomar, A., et al. (2018). "Scalable and accurate deep learning with electronic health records." NPJ Digital Medicine, 1(1), 1-10.
- Schork, N. J. (2019). "Artificial intelligence and personalized medicine." Cancer Treatment and Research, 178, 265-283.
- Sheikhalishahi, S., et al. (2019). "Natural language processing of clinical notes on chronic diseases: Systematic review." JMIR Medical Informatics, 7(2), e12239.
- Stade, E.C., Stirman, S. W., Ungar, L., Boland, C. L., Schwartz, H. A., Yaden, D. B., Sedoc, J., DeRubeis, R. J., Willer, R., Kim, J. P., & Eichstaedt, J.C. (2024). Toward responsible development and evaluation of LLMs in psychotherapy. Stanford University:Human-Centered Artificial Intelligence
- https://hai.stanford.edu/sites/default/files/2024-06/HAI-Policy-Brief-Responsible-Development-LLMs-Psychotherapy.pdf
- Topol, E. J. (2019). "High-performance medicine: the convergence of human and artificial intelligence." Nature Medicine, 25(1), 44-56.
- Torous, J., & Hsin, H. (2018). "Empowering the digital therapeutic relationship: virtual clinics for digital health interventions." NPJ Digital Medicine, 1(1), 1-3.
- Zhavoronkov, A., et al. (2019). "Deep learning enables rapid identification of potent DDR1 kinase inhibitors." Nature Biotechnology, 37(9), 1038-1040.