Explaining AI explainability (Practical AI #91)

The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. You might have heard of AutoML and meta-learning. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. This episode is fascinating and very timely.

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Featuring:

• Sheldon Fernandez – LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

• Darwin AI
• FermiNets - a paper that introduces the idea of generative synthesis.
• COVID-Net - Darwin AI’s COVID-related computer vision model.
• NLP highlights podcast episode on Behavioral Testing - behavioral tests
• Sheldon’s explainability primer on medium

Something missing or broken? PRs welcome!