Explainable AI that is accessible for all humans

Explainable AI that is accessible for all humans

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Episode
218 of 339
Duration
45min
Language
English
Format
Category
Non-fiction

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 – LinkedIn • , X • Chris Benson – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:

Bast.ai Something missing or broken? PRs welcome!


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