The Conference for Machine Learning Innovation

Explainable AI with Machine Teaching

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We see a major shift coming in the machine learning industry with the transition from Machine Learning (ML) – learning by example – to MachineTeaching (MT) – learning by explanations. Three problems that ML has today will be solved with this transition: (1) Explainability of ML Solutions (2) Data Access and Labeled Data and (3) Accurate control of the algorithms reasoning. Though the talk, Murat will explain the foundational concepts of Machine Teaching along with an account of how this technology will transform and improve many industries with specific use cases and examples of how the technology is being used today.

Behind the Tracks