Jay Komarneni: Human input is required for human-interpretable AI ontologies
Jay Komarneni · a16z Podcast | The Taxonomy of Collective Knowledge · Jan 2, 2019 · at 4:23
HumanDX founder Jay Komarneni discusses why machine learning models require human input to construct interpretable data representations on an a16z podcast panel.
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“The only way you're going to get the representations that are most valuable to humans is from human beings themselves, right?”
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