John Dickerson is a co-founder and chief scientist at Arthur since March 2019, focusing on building enterprise-grade trusted AI systems. In addition, John holds a position as an associate professor of computer science at the University of Maryland, where John has been since August 2016, currently on leave at Arthur. John leads a lab with over 12 researchers, has served as PI/Co-PI on research funding exceeding $10 million, and has guided the graduation of more than six PhD students. Previous roles include assistant professor of computer science and advisor for GovShop, visiting research scientist at Facebook, and a Ph.D. student at Carnegie Mellon University, where John also earned an MS in computer science. John's industry experience includes positions as a senior enterprise software and optimization architect at Optimized Markets, a faculty research assistant at the University of Maryland, a software engineer/test at IBM, and a student intern at the NSA. John holds dual bachelor's degrees in computer science and mathematics from the University of Maryland.
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Arthur AI
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Arthur is a proactive model monitoring solution that gives you the confidence that your AI deployments are performing as expected, and the peace of mind that you can catch and fix issues before they derail your models. With advanced performance monitoring, bias detection, and customizable alerts, you’ll never miss an issue; and Arthur’s explainability engine makes runtime debugging a breeze with prediction-level explanations, even for black box models. No matter where your models are deployed, Arthur brings them all into view in a centralized platform. Give your data science team the freedom to use whichever deployment frameworks and engines they want, with the knowledge that you’ll be able to monitor models anywhere with just a single line of code.