#35 - Ethics of AI in behavioral services w/ Dr. David Cox

Show Notes

• About the episode

  In this episode, Zach and Caleb are joined by Dr. David Cox and discuss the ethics surrounding the use of AI in the delivery of behavioral services.
  

  Learning Objectives

  • Analyze the ethical implications of data tracking and metadata privacy when inputting clinical profiles into generative AI models, identifying how IP addresses and diagnostic descriptions can inadvertently expose client locations and identities.

  • Differentiate between deterministic and probabilistic AI systems, evaluating the distinct operational risks each poses to behavioral service delivery and clinical decision-making.

  • Formulate a protocol for establishing an organizational "walled garden" (enterprise account) to safely leverage artificial intelligence while adhering to professional and legal boundaries for data security.

  
  

• Things to check out from the episode:
  
  Dr. Cox's podcast:
  The Behavioral Data Science Podcast - Podcast - Apple Podcasts
  
  How Stanford Teaches AI-Powered Creativity in Just 13 MinutesㅣJeremy Utley - YouTube
  
  

  References:
  Cox, D. J. (2025). Ethical Behavior Analysis in the Age of Artificial Intelligence (AI): The Importance of Understanding Model Building while Formal AI Literacy Curricula are Developed. Perspectives on Behavior Science, 1-11.
  
  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(1), 123-136.
  
  O'neil, C. (2017). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.