 He served as executive editor of "Machine Learning (journal)" (1992–98) and helped co-found the "Journal of Machine Learning Research".In response to the media's attention on the dangers of artificial intelligence, Dietterich has been quoted for an academic perspective to a broad range of media outlets including National Public Radio, "Business Insider", Microsoft Research, CNET, and "The Wall Street Journal".Among his research contributions were the invention of error-correcting output coding to multi-class classification, the formalization of the multiple-instance problem, the MAXQ framework for hierarchical reinforcement learning, and the development of methods for integrating non-parametric regression trees into probabilistic graphical models.