Notable Guests
AH
Adam Hahs
1x
AV
Amber Valentino
1x
BS
Bryant Silbaugh
1x
CM
Chat with Zach Morford
1x
CM
Cody Morris
1x
TL
The Data Lifecycle
1x
TL
The Deployment Lifecycle
1x
TL
The Model Lifecycle
1x
Recent Episodes
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Dr. Adam Hahs discusses quality measurement in ABA.
Adam Hahs
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Dr. Amber Valentino discusses quality measurement in ABA.
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Drs. Morris and Silbaugh share views on ABA quality.
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Discussing variability in client profiles for ABA.
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History of outcome measurement in ABA.
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Discussing the history of quality measurement in healthcare.
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Jake and David review recent articles from the Journal of Applied Behavior Analysis
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Jake and David analyze articles from the recent issue of Artificial Intelligence in Medicine
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OpenAI and Anthropic released ChatGPT Health and Claude Healthcare products connecting health data to AI advice
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Jake describes a seven-year project building a usable database of open-source behavior-analytic journal articles
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Discuss how to identify what behavior to analyze and how to obtain the necessary data
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Take the claim that late-night screen time disrupts sleep and leads teens to be more depressed and develop a testable question
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Interview with Dr. Elizabeth Garrison, rare expert spanning both behavior analysis (BCBA) and artificial intelligence (PhD)
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Jake and David examine whether the AI industry is experiencing a speculative bubble with asset prices exceeding fundamental value
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Review emerging research on how interacting with LLMs impacts human skills and cognitive abilities both positively and negatively
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Examine AI ethics topics beyond typical discussions of data security, bias, transparency, and explainability
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Define Explainable AI (XAI) as techniques to help developers and users understand why inputs produce specific outputs
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Explain that prompt engineering extends far beyond simple interface strategies and is grounded in peer-reviewed research
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Highlight that LLM output evaluation is more critical than prompts, context, and inputs
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Jake and David discuss best practices for building and using AI systems that leverage LLMs