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 thinking about this topic for some time and has developed an ontological approach to creating conversational AI. We hear more about that approach and related work in this episode.

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Featuring:

Beth Rudden – Twitter, LinkedIn
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Bast.ai

Something missing or broken? PRs welcome!

Explainable AI that is accessible for all humans 45:37 Share

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

Explainable AI that is accessible for all humans