Dr. Chris Welty's main area of interest is equal parts machine learning, knowledge bases, and crowdsourcing, and his recently published work is on using crowdsourcing to form a new theory of truth based on diversity of perspectives. He is a firm advocate of data as the compass for AI, and has espoused the view that engineering and acquisition of data are far more important to progress than algorithm development. Before Google, Dr. Welty was a member of the technical leadership team for IBM’s Watson – the question-answering computer that defeated the all-time best Jeopardy! champions in a widely televised contest. Since joining Google in 2014, he has worked on incorporating AI in Google products such as Google Docs and Maps. He got his start 30 years ago working summers at AT&T Bell Labs under Ron Brachman on Knowledge Representation, and became known for OntoClean, the first formal methodology for evaluating ontologies. He is on the editorial board of AI Magazine, where he curates the "AI Bookie", a column that focuses on scientific bets for AI. Dr. Welty holds a Ph.D. in Computer Science from Rensselaer Polytechnic Institute (RPI).