The Behavioral Data Science Podcast
A podcast for those interested in what's going on at the intersection of behavior science and data science.
Episodes
"Explainable AI", aka XAI, refers to a suite of techniques to help AI system developers and AI system users understand why inputs to the system resulted in the observed outputs.
Industries such as healthcare, education, and finance require that any system using mathematical models or algorithms to influence the lives of others is transparent and explainable.
In this episode, Jake and David review what XAI is, classical te...
Prompt engineering involves a lot more than simply getting smarter with how you structure the prompts you enter in an LLM browser interface.
Furthermore, a growing body of peer-reviewed research provides us with best practices to improve the accuracy and reliability of LLM outputs for the specific tasks we build systems around.
In this episode, Jake and David review evidence-based best practices for prompt engineering and, important...
Lots of people like to talk about the importance of prompts, context, and what is sent to an LLM. Few discuss the even more important aspect of an LLM-driven system in evaluating its output.
In this episode, we discuss traditional and modern metrics used to evaluate LLM outputs. And, we review the common frameworks for obtaining that feedback.
Though evals are a lot of work (and easy to do poorly), those building (or buying) LLM-dr...
Jake and David chat about best practices and considerations for those building and using AI systems that leverage LLMs.
Jake and David chat about types of GenAI, and specifically how LLMs work—from input text or audio through the output you read.
Jake and I chat about current hot topics in the LLM space and what we would (and would not) trust an LLM with.
Jake and I chat about a forthcoming book chapter titled, "Welcome to the Era of Experience" by David Silver and Richard Sutton (link below). This—naturally—led other topics to surface, such as companies staffed entirely by AI agents (which turned out as well as that sounds); superintelligence (we might be legally required to reference this during the 2025 AI hype cycle); and how practical systems built on these ideas woul...
In this episode, we chat with Dr. Beth Garrison about her journey in behavior analysis, what led her to pursue a PhD in artificial intelligence, and her thoughts on where this is all headed.
Links to the papers Dr. Garrison references:
- Exploring Engagement Opportunities for Autistic Children: Using AAC as a Controller in a Wizard-of-Oz Coloring Game: https://doi.org/10.1145/3701193
- Understanding the experience of neurodiverge...
In this episode, David talks about the dataset he's been collecting on his own, daily behavior over the last 15 years; and, how behavior science + data science let him do neat things with it.
Jake talks about his backyard science project where he used computer vision to detect squirrels in his backyard.
In this episode, we dive into some basics around unsupervised machine learning and how behavior analysts might use it in their work.
Episode 010: Guest Chat with Zach Morford
Episode 009: What does it take to go end-to-end with an AI application? Part III - The Deployment Lifecycle
In this episode, we discuss the end-to-end pipeline when creating a model.
In this episode, we talk about the many components of data engineering and parallel work data scientists get into as data moves from its data collection source to being ready for modeling.
In this episode, we discuss common barriers and solutions for bridging the research-to-practice gap in behavioral data science. We also talk about many of the ways that data science or AI research differs from behavior science research in terms of practitioners' ability to integrate findings quickly into practice.
Episode 005: Do LLMs display Verbal Behavior?
Episode 004: Vector Embeddings: What, how, and why for BSci
Episode 003: Getting into data science with a behavioral science background.
In this episode, Jake and David discuss how one might even define what it means for something to exist at the intersection of behavior science and data science.
We also talk about the different roles on data science teams and applied behavior analysis teams.
And we talk about how long it might be until AI systems are better at the functional analysis of behavior than humans.
Popular Podcasts
The latest news in 4 minutes updated every hour, every day.
Does hearing about a true crime case always leave you scouring the internet for the truth behind the story? Dive into your next mystery with Crime Junkie. Every Monday, join your host Ashley Flowers as she unravels all the details of infamous and underreported true crime cases with her best friend Brit Prawat. From cold cases to missing persons and heroes in our community who seek justice, Crime Junkie is your destination for theories and stories you won’t hear anywhere else. Whether you're a seasoned true crime enthusiast or new to the genre, you'll find yourself on the edge of your seat awaiting a new episode every Monday. If you can never get enough true crime... Congratulations, you’ve found your people. Follow to join a community of Crime Junkies! Crime Junkie is presented by audiochuck Media Company.
The Clay Travis and Buck Sexton Show. Clay Travis and Buck Sexton tackle the biggest stories in news, politics and current events with intelligence and humor. From the border crisis, to the madness of cancel culture and far-left missteps, Clay and Buck guide listeners through the latest headlines and hot topics with fun and entertaining conversations and opinions.
If you've ever wanted to know about champagne, satanism, the Stonewall Uprising, chaos theory, LSD, El Nino, true crime and Rosa Parks, then look no further. Josh and Chuck have you covered.
Listen to 'The Bobby Bones Show' by downloading the daily full replay.