Episode

11

Intersection of Behavior Analysis and AI | David Cox & Ryan O’Donnell

Guest:

David Cox, Ryan O’Donnell

Published:

August 29, 2025

Duration:

51 min

CEU eligible:

1.0

CEU type:

Learning
AI, technology, data-based decision making, chatgpt, large language models, project Chiron

Episode

11

Intersection of Behavior Analysis and AI | David Cox & Ryan O’Donnell

Guest:

David Cox, Ryan O’Donnell

Published:

August 29, 2025

Duration:

51 min

CEU eligible:

1.0

CEU type:

Learning
AI, technology, data-based decision making, chatgpt, large language models, project Chiron

In this episode of Cooperant Learning, Dr. David Cox and Ryan O’Donnell join us to explore the intersection of applied behavior analysis and artificial intelligence. We dive into real-world case applications, the opportunities and pitfalls of corporate interest in AI solutions, potential risks of sacrificing quality for efficiency, and privacy and HIPAA issues. David and Ryan discuss the mission of their AI and ABA initiative Project Chiron and examine the philosophical and ethical questions that come with integrating AI into behavior science.

Topics we cover:

  • Practical case uses of AI in ABA
  • Corporate influence and the push for efficiency
  • A behavioral account of chatbot “behavior”
  • Balancing technological innovation with quality of care
  • Philosophical and ethical considerations in merging AI with behavior science

If you’re interested in where ABA is headed in an AI-driven world, this conversation is one you won’t want to miss.

David J. Cox, Ph.D., M.S.B., BCBA-D A full-stack data scientist and behavior analyst with nearly two decades of experience at the intersection of behavior science, ethics, and AI. Dr. Cox is a thought leader on ethical AI integration in ABA and the author of the forthcoming commentary Ethical Behavior Analysis in the Age of Artificial Intelligence. He’s published over 70 articles and books on related topics in academic journals and, quite possibly, the only person in the field with expertise in behavior analysis, bioethics, and data science.

Ryan L. O’Donnell, M.S., BCBA With a background in behavior science and digital storytelling, Ryan stopped short of the Ph.D. track to build a distinctive path through filmmaking, science communication, and CEU production. Known for producing high-quality, film-level CEU content with thought leaders like Patrick C. Friman, Susan G. Friedman, and Kent Johnson, he’s directed and produced over 200 hours of online courses, including the acclaimed documentaries This Way of Thinking, The History of Applied Behavior Analysis: Part 1 and The Morningside Model.

 

The BACB® does not endorse, approve, or assume responsibility for this course or its content. Completion of this course provides ACE-approved continuing education credit toward BACB® recertification requirements.

Project Chiron | Behavior Academy
https://www.thebehavioracademy.com/behavior-analysis-and-artificial-intelligence
David's ResearchGate Profile
https://www.researchgate.net/profile/David-Cox-11?ev=hdr_xprf
Smart behavior of true slime mold in a labyrinth
https://pubmed.ncbi.nlm.nih.gov/11763236/
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Price :

$9

Earn Your CEU

View certificates in Dashboard after completion.

Take the Quiz

Go to the episode connected course – Buy – Take the quiz

or

Add to cart

Add to cart – Buy later – With one or more items

Add CEU to the cart – Pay – Take the quiz – Get certificate

In this episode of Cooperant Learning, Dr. David Cox and Ryan O’Donnell join us to explore the intersection of applied behavior analysis and artificial intelligence. We dive into real-world case applications, the opportunities and pitfalls of corporate interest in AI solutions, potential risks of sacrificing quality for efficiency, and privacy and HIPAA issues. David and Ryan discuss the mission of their AI and ABA initiative Project Chiron and examine the philosophical and ethical questions that come with integrating AI into behavior science.

Topics we cover:

  • Practical case uses of AI in ABA
  • Corporate influence and the push for efficiency
  • A behavioral account of chatbot “behavior”
  • Balancing technological innovation with quality of care
  • Philosophical and ethical considerations in merging AI with behavior science

If you’re interested in where ABA is headed in an AI-driven world, this conversation is one you won’t want to miss.

David J. Cox, Ph.D., M.S.B., BCBA-D A full-stack data scientist and behavior analyst with nearly two decades of experience at the intersection of behavior science, ethics, and AI. Dr. Cox is a thought leader on ethical AI integration in ABA and the author of the forthcoming commentary Ethical Behavior Analysis in the Age of Artificial Intelligence. He’s published over 70 articles and books on related topics in academic journals and, quite possibly, the only person in the field with expertise in behavior analysis, bioethics, and data science.

Ryan L. O’Donnell, M.S., BCBA With a background in behavior science and digital storytelling, Ryan stopped short of the Ph.D. track to build a distinctive path through filmmaking, science communication, and CEU production. Known for producing high-quality, film-level CEU content with thought leaders like Patrick C. Friman, Susan G. Friedman, and Kent Johnson, he’s directed and produced over 200 hours of online courses, including the acclaimed documentaries This Way of Thinking, The History of Applied Behavior Analysis: Part 1 and The Morningside Model.

 

The BACB® does not endorse, approve, or assume responsibility for this course or its content. Completion of this course provides ACE-approved continuing education credit toward BACB® recertification requirements.

Project Chiron | Behavior Academy
https://www.thebehavioracademy.com/behavior-analysis-and-artificial-intelligence
David's ResearchGate Profile
https://www.researchgate.net/profile/David-Cox-11?ev=hdr_xprf
Smart behavior of true slime mold in a labyrinth
https://pubmed.ncbi.nlm.nih.gov/11763236/

Learning Objectives

  • Participants will identify several pros and cons of adopting AI tools into clinical practice.
  • Participants will conceptualize the use of AI from a behavioral perspective, both that of the AI’s behavior and the behavior of its users.
  • Participants will identify areas of best practice and areas in which further research must be done in the use of AI in ABA clinical practice
Categories:
Technology & Innovation (Telehealth, AI, Data, Internet Safety)

Learning Objectives

  • Participants will identify several pros and cons of adopting AI tools into clinical practice.
  • Participants will conceptualize the use of AI from a behavioral perspective, both that of the AI’s behavior and the behavior of its users.
  • Participants will identify areas of best practice and areas in which further research must be done in the use of AI in ABA clinical practice
Categories:
Technology & Innovation (Telehealth, AI, Data, Internet Safety)

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