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Ben Green

Assistant Professor of Information, School of Information and Assistant Professor of Public Policy, Gerald R Ford School of Public Policy Email: [email protected] Phone: 000/000-0000
Office: School of Information/5520 Leinweber Comp Sci & Info Bd Faculty Role: Faculty Potential PhD Faculty Advisor: Yes Personal website News About Ben Green

Biography

Ben Green is an assistant professor in the University of Michigan School of Information and an assistant professor (by courtesy) in the Gerald R. Ford School of Public Policy. He holds a PhD in Applied Mathematics from Harvard University, with a secondary field in Science, Technology, and Society. Ben studies the ethics of government algorithms, with a focus on algorithmic fairness, human-algorithm interactions, and AI regulation. Through his research, Ben aims to support design and governance practices that prevent algorithmic harms and advance social justice. His first book, The Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future, was published in 2019 by MIT Press. He is working on a second book, Algorithmic Realism: Reimagining Data Science to Promote Social Justice. Ben is also a faculty associate at the Berkman Klein Center for Internet & Society at Harvard and a fellow at the Center for Democracy & Technology.

Pronouns

he/him

Education

PhD in Applied Mathematics (Secondary Field in Science, Technology, & Society), Harvard University
BS in Mathematics & Physics, Yale University

News about Ben Green

Quoted by Context. Assistant Professor Ben Green. Trump's AI push raises red flags for poorest Americans.
Green: When it comes to public benefits, AI implementation is becoming “harsher and more inconsistent”

UMSI assistant professor Ben Green talks about the growing role of AI in determining access to public benefits under the Trump administration. 

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Quoted by Tech Policy Press. Assistant Professor Ben Green. DOGE plan to push AI across the U.S. federal government is wildly dangerous.
Green: AI-first strategy by DOGE is a “recipe for disaster”

In an op-ed for Tech Policy Press, UMSI assistant professor Ben Green discusses the dangers of relying on algorithms for critical government services. 

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