Town Hall on AI, Machine Learning, and More
Peter Norvig, Director of Research at Google Inc., was available for an open, interactive Q & A session. Attendees brought any questions they had on the following topics: Note: Due to being based on viewer-submitted questions, actual covered topics may differ and topics listed may not be addressed. Themes in A.I and Machine Learning: Current Google research goals Future of A.I. Big questions in unifying logic and probability Challenges facing A.I./Machine Learning research (e.g., trust/privacy, debugging, non-modularity, non-stationarity, lack of adequate tools and processes) Ethics and Privacy in the age of A.I. Peter’s Recent Research: Google’s hybrid approach to research Deep Learning Quantitative analysis Data effectiveness Current practice and teaching of A.I. Online Education and Tools/MOOCs (both at Google and externally) Other questions and ideas to consider: How limitations in our knowledge of the human brain impact Machine Learning Working in Academia vs. Industry Advice to graduate students and researchers in computer science and A.I.
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