Our leadership team has a combined 50+ years of AI experience, delivering many high-leverage machine learning systems into production. Arthur is the platform we wished we’d had in previous roles, to provide much-needed visibility into the large-scale systems we’d worked so hard to build. Our goal is to make every model observable, equitable, and auditable so that all designers can understand and continually improve the operations of their systems.
Adam co-founded Arthur and serves as CEO. Adam has over 20 years of experience in the AI, Machine Learning and software development spaces. Prior to founding Arthur, he founded and acted as CEO for Anax Security, a DC-based startup focused on Machine Learning for large-scale defensive cybersecurity. After Anax’s acquisition by Capital One, Adam served as Capital One’s VP of AI & Data Innovation, leading transformative projects across the business. There, Adam helped bring AI observability, fairness, and explainability to high value areas such as credit, user experience, cybersecurity, marketing, fraud & financial crimes monitoring and operations automation. Adam holds a BS in Computer Science from the University of Maryland.
John serves as Co-Founder of and Chief Scientist to Arthur. He is also an Assistant Professor in the Department of Computer Science at the University of Maryland. He specializes in solving problems at the intersection of economics and artificial intelligence using techniques from machine learning, stochastic optimization, and computational social choice. He has worked extensively in the design and fielding of markets in healthcare and in advertising. John brings to Arthur a unique blend of academic pursuit and industry problem solving. He holds a PhD in Computer Science from Carnegie Mellon University.
Keegan is Arthur’s VP of Machine Learning. He is also an Adjunct Assistant Professor in the Data Science Program at Georgetown University where he teaches courses in machine learning and deep learning. Keegan comes to Arthur from Capital One where he was the Director of Machine Learning Research and developed applications of ML to key financial services areas. He has also held roles at cyberdefense firms and is currently a Co-Founder and Chair of the Conference on Applied Learning for Information Security (CAMLIS). Keegan holds a PhD in Neuroscience from the University of Texas.
Liz co-founded Arthur and serves as an Advisor to the company. She has been working in the AI space since 2012, delivering large-scale AI projects across industries to Fortune 500 clientele. Most recently, she headed data labeling at computer vision AI startup Clarifai, which is where she first held responsibility for reducing model bias through a well-managed annotations pipeline. Liz also acts as Technology Director for STOP (the Surveillance Technology Oversight Project) where she works on New York City and State policy to protect personal privacy from the ever-growing surveillance state. She has been an active voice in the AI ethics movement, and has been featured in numerous media outlets discussing data privacy and ethical AI. Liz is an active member of the Campaign to Stop Killer Robots and advocates on their behalf to US legislative bodies, federal agencies, and at the UN.