Artificial Intelligence & Safe Machine Learning Ryan is a research contractor at Ought Inc. His current work focused on aggregating answers from safe question-answering systems. Previously, he has worked on the task of predicting slow human judgments. In his past work at the Machine Intelligence Research Institute, he touched on issues such as how systems ought to behave if they have bugs in their code, and how systems ought to learn and explore if they occasionally encounter catastrophes.
