

Explainable AI that is accessible for all humans
We are seeing an explosion of AI apps that are (at their core) a thin UI on top of calls to OpenAI generative models. What risks are associated with this sort of approach to AI integration, and is explainability and accountability something that can be achieved in chat-based assistants? Beth Rudden of Bast.ai has been…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
Similar episodes from other shows
More like Practical AI →
Why Everyone Is Obsessed With Claude Code

Stop being skeptical about AI for development with Charity Majors

The First Mechanistic Interpretability Frontier Lab — Myra Deng & Mark Bissell of Goodfire AI

Chatbots, agents & LLMs: the future of AI where bigger isn’t always better | Kirk Bresniker
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.


