Reliable Machine Learning in the Wild - NIPS 2016 Workshop

CSER co-sponsored the Reliable Machine Learning in the Wild workshop at NIPS 2016.

NIPS is one of the four most important AI conferences globally. These regular workshops embed safety in the wider field, and provide a publication venue. The workshop featured 29 cutting-edge papers in AI safety, and encouraged leading AI researchers to publish on AI safety.

Jacob Steinhardt, Stanford
Dylan Hadfield-Menell, Berkeley
Adrian Weller, Cambridge
David Duvenaud, Toronto
Percy Liang, Stanford

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