Sagie Davidovich, Author at JAXenter

Sagie Davidovich

Sagie is an entrepreneur, technological visionary and machine intelligence enthusiast, who continually strives to bridge the gap between human and machine reasoning and interaction. He’s passionate about computational knowledge representation, acquisition, storage, reasoning, and processing.Sergey has served in a range of executive technological positions in disruptive startup companies. Prior to co-founding SparkBeyond, Sergey served as GM and SVP of R&D for NewBrandAnalytics, a social business intelligence pioneer. He’s also served as VP R&D of SemantiNet, a semantic reasoning engine, and co-founded Delver, a social search engine that was acquired by Sears, where he served as CTO. Prior to founding Delver, Sergey was the architect of a large-scale award-winning predictive maintenance system.

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Blackboxes and glassboxes

What’s in The Box? Explainability versus Accuracy in AI Models

#AI #Data Science

It is a challenge to make AI-driven models transparent. They are a blackbox and can cause serious issues. The aim of a glassbox is to provide greater transparency in how a model is operating and how its outputs have been reached.