Technology Review : You both spoke on stage of how AI has been advanced in recent years through the use of machine-learning techniques that take in large volumes of data and figure out things like how to translate text or transcribe speech. What about the areas we want AI to help where there isn't lots of data to learn from? Eric Horvitz: I've often thought that if you had a cloud service in the sky that recorded every speech request and what happened nextevery conversation in every taxi in Beijing, for exampleit could be possible to have AI learn how to do everything. Isn't it difficult to use machine learning if the training data isn't already labeled and explained, to give the AI a "truth" to get started from?
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