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...
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...
Ben Green, assistant professor of public policy, and Shobita Parthasarathy, professor of public policy and director of the Science, Technology, and Public Policy program, discuss the social and policy impacts of algorithms in government.
Predictive policing is the application of analytical software to identify likely targets for police intervention and prevent crime. The last 8–10 years has brought the application of analytical tools and artificial intelligence to enable such...
