Anupam Guha is an AI researcher shifting to AI policy research. He finished his PhD in 2017, from the University of Maryland, in Computer Science. He has worked as an industry AI researcher for two years.
Dr. Guha’s arc of research started as a core AI researcher working in the intersection of language and vision who got interested in not just how humans solve complex problems but also how AI systems work and fail around these problems. This, and insights from his recent work in academia and the (media) industry, especially as to how code precedes policy, and the lens on AI primarily being one of fairness, accountability, transparency (instead of say, labour and capital) led him to develop an interest in AI policy, the interaction of labour with AI, and the political-economy of automation.
For details please visit his personal website.
Artificial Intelligence and its Political Economy
AI, Automation, and Labour
Brittleness in Machine Learning Systems
Metal/Energy Economy of Automation
I received my PhD from the Department of Computer Science, University of Maryland, College Park, class of 2017. I was advised by Dr. Yiannis Aloimonos and Dr. Jordan Boyd-Graber. My work was in the intersection of Computational Linguistics and Computer Vision. In particular I investigated the linguistic phenomenon of coreferences of entities and events across modalities. I received my MS in August 2010 from Georgia Tech, Atlanta and was advised by Dr. Ellen Yi-Luen Do.
Please visit his personal website.
Senior Researcher at Comcast Labs, 2017-2019
Best Paper Award, NAACL 2016
Qualcomm Innovation Fellowship 2016
Dean’s Fellowship, UMD, 2011 and 2012