Malo Bourgon (email) oversees MIRI’s day-to-day operations and program activities. Before becoming COO, Malo worked for MIRI as a program management analyst, helping implement many of MIRI’s current systems, processes, and program activities. He also co-chairs the IEEE committee on the Safety and Beneficence of Artificial General Intelligence and Artificial Superintelligence. Malo joined MIRI in 2012 shortly after completing a master’s degree in engineering at the University of Guelph.
Eliezer Yudkowsky (email) is a decision theorist who is widely cited for his writings on the long-term future of artificial intelligence. His views on the social and philosophical significance of AI have had a major impact on ongoing debates in the field, and as MIRI’s senior research fellow, his work in mathematical logic has heavily shaped MIRI’s research agenda. He is the author of the Cambridge Handbook of Artificial Intelligence chapter “The Ethics of Artificial Intelligence” with Nick Bostrom (2014), and has written a number of popular introductions to the science of human rationality.
Benya Fallenstein works on basic theoretical questions raised by the challenge of aligning advanced AI systems with human goals. These include decision- and game-theoretic problems that arise when artificial agents reason about future versions of themselves or about other, similarly powerful agents in their environment. Since joining the research team in 2014, she has spent time developing models of logical uncertainty (uncertainty about which mathematical statements are true), self-reference in higher-order theorem-proving systems, and the specification of safe AI goals. Benya holds a Bachelors in Mathematics from the University of Vienna.
Scott Garrabrant (email) earned his PhD in mathematics from UCLA studying applications of theoretical computer science to enumerative combinatorics. His main research area is in logical uncertainty, and he is the primary author of “Logical Induction” (2016), a highly general method for assigning probabilities to logical sentences. He is also interested in other aspects of logical uncertainty and counterfactuals.
Sam Eisenstat (email) works on questions relating to the foundations of reasoning and agency. He studied pure mathematics at the University of Waterloo, where he carried out research in mathematical logic. Before joining MIRI, he worked on automatic construction of deep learning models at Google. He currently works on logical uncertainty, and in particular is exploring analogies between current theories of logical uncertainty and Bayesian reasoning. He has also done work on decision theory and counterfactuals.
Abram Demski (email) is currently completing a PhD in Computer Science at the University of Southern California. His research to date has focused on cognitive architectures and artificial general intelligence. He is interested in filling in the gaps that exist in formal theories of rationality, especially those concerned with what humans are doing when reasoning semi-formally about mathematics.
Jesse Liptrap (email) joined MIRI in 2017 after spending four years as a software engineer at Google, working on the Knowledge Graph. Previously he worked as a bioinformatician at UC Berkeley. He holds a BS in math from Caltech and a PhD in math from UC Santa Barbara, where he studied category-theoretic underpinnings of topological quantum computing.
Nick Tarleton (email) joined MIRI after several years as lead architect at the search startup Quixey. He previously worked with MIRI in the first iteration of its summer fellows program, studying consequences of proposed goal systems for advanced AI. Nick studied computer science and decision science at Carnegie Mellon University.
Buck Shlegeris (email) worked as a software engineer at PayPal before joining MIRI, and was the first employee at Triplebyte. He previously studied at the Australian National University, majoring in CS and minoring in math and physics, and he has presented work on data structure synthesis at industry conferences.
Ben Weinstein-Raun (email) previously spent two years as a software engineer at Cruise Automation, where he worked on the planning and prediction teams. He previously worked at Counsyl on their automated genomics lab, and helped to found Hacksburg, a hackerspace in Blacksburg, Virginia. He holds a BS from Virginia Tech, where he studied computer engineering.
Tsvi Benson-Tilsen (email) works on the foundations of rational agency, including logical uncertainty, logical counterfactuals, and reflectively stable decision making, as well as other questions of AI alignment. Before joining MIRI as a full-time researcher, he collaborated on “Logical Induction”. Tsvi holds a BSc in Mathematics with honors from the University of Chicago, and is on leave from the UC Berkeley Group in Logic and the Methodology of Science PhD program. Tsvi joined MIRI in June 2017.
Katja Grace Researcher, AI Impacts
Katja Grace (email) contributes to AI Impacts, an independent research project focused on social and historical questions related to artificial intelligence outcomes. Her analyses include “Algorithmic Progress in Six Domains” (2013). She writes the blog Meteuphoric, and is sometimes a PhD student in Logic, Computation, and Methodology at Carnegie Mellon University.