Ben Green

Faculty Associate Ben Green critiques DOGE’s AI-driven overhaul of the federal government, warning of misinterpretations, accountability failures, and harmful consequences.

Ben Green and colleagues note disciplinary divides in the ways that computer scientists and legal experts translate law into code.

Ben Green argues that human oversight policies allow the government to use flawed or controversial algorithms without addressing the fundamental issues with the tools — and…

Ben Green opines that people may put too much faith in human oversight of AI.

As tech firms team up with governments to fight the coronavirus pandemic, we’re being asked to accept a trade-off between our digital privacy and our health. It’s a false choice,…

Ben Green joins Jasmine McNealy on the New Books in Technology podcast

BKC report proposes responsible privacy-protective approaches for cities

Ben Green offers insights into why technology is not an end in itself

Local governments must protect your privacy as they turn to “smart city” technology.

There is a lot of hype about “smart cities,” but Ben Green argues the tools may have darker potential.

Some algorithms assume crime in one location leads to others nearby. Others identify specific people most likely to be involved in violence. Both can lead to discrimination.

Ben Green's work as a data scientist in city governments informed his critical view of the "smart city" tech that could influence city life and society for decades to come.

Ben Green argues that cities are adopting “smart” technology without thinking through the political ramifications of the technology.

Taking an exclusively technical view of urban life will lead to cities that appear smart but under the surface are rife with injustice and inequality

The promise of Smart Cities often fails to acknowledge the complex political and social factors of cities, which may cause short and long term harms to residents and democracy

Innovation can mean more than just "use new technology."

“We increasingly see every problem as a technology-related problem, so the solution is more technology”

How do people respond to the predictions made by pretrial risk assessments?

"Data scientists must recognize themselves as political actors and adopt an explicit politics of social justice."

It is urgent that Boston develop policies that comprehensively account for what surveillance means today.

Ben Green calls for the disentanglement of the concepts of unfairness and injustice within the Fairness, Accountability, and Transparency movement.