Algorithms

Ben Green, professor at the Ford School, explains why human oversight of algorithms, such as the one that runs Google's Gmail spam protection, does not always work. He cites how "the human overseers are on a tight schedule — they have many cases to...

Postdoctoral scholar Ben Green recently joined Harvard University's Berkman Klein Center for Internet & Society for a webinar focused on what fairness means in the context of algorithms and how fairness can be measured. Joined by other scholars...

Ford School assistant professor Ben Green, and an affiliate of the Berkman Klein Center for Internet & Society at Harvard University, says that if algorithms are to improve society, focusing only on whether they’re mathematically “fair” won’t get us...

The use of large language models could transform many facets of modern life, including how policymakers assess public sentiment about pending legislation, how patients evaluate their medical care and how scientists could translate research findings...

Who gets to define the ethics behind the use of technology in society? The discussion has become more pressing amid controversies related to misinformation, privacy, and algorithmic bias.  Ben Green explores this question as editor of a special...

The Future of Privacy Forum (FPF) recently awarded Ben Green, assistant professor and postdoctoral scholar, the Privacy Papers for Policymakers Award. The award is for Green’s paper, “The Flaws of Policies Requiring Human Oversight of Government...

Robert Axelrod, William D. Hamilton Distinguished University Professor Emeritus, recently broke down game theory strategy on the People I (Mostly) Admire podcast with Freakonomics author Steven Levitt. He explains how game theory and the prisoner's...

Commenting on his recent research, Ben Green told Protocol, “The point is not to say: Let's just allow these algorithms to be used without the human oversight. But if we're only comfortable with these algorithms because we have human oversight, we...

Do algorithms help or hinder human decision-making? In a recent op-ed for The Hill, Ben Green, an assistant professor and postdoctoral scholar, argues that policymakers need to consider how humans interact with AI when regulating the use of AI in...

Machine learning is increasingly used for government decision-making to predict adverse outcomes. For instance, many cities and states in the U.S. have adopted pretrial risk assessments that inform decisions about whether to release criminal...