213 citations · 359 across the 4 of their papers we have counts for
5 papers
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment
Yaniv Yacoby, Ben Green, Christopher L. Griffin +1
Many researchers and policymakers have expressed excitement about algorithmic explanations enabling more fair and responsible decision-making. However, recent experimental studies…
The Flaws of Policies Requiring Human Oversight of Government Algorithms
Ben Green
As algorithms become an influential component of government decision-making around the world, policymakers have debated how governments can attain the benefits of algorithms while…
Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness
Ben Green
Efforts to promote equitable public policy with algorithms appear to be fundamentally constrained by the "impossibility of fairness" (an incompatibility between mathematical defini…
Algorithmic Risk Assessments Can Alter Human Decision-Making Processes in High-Stakes Government Contexts
Ben Green, Yiling Chen
Governments are increasingly turning to algorithmic risk assessments when making important decisions, such as whether to release criminal defendants before trial. Policymakers asse…
Data Science as Political Action: Grounding Data Science in a Politics of Justice
Ben Green
In response to public scrutiny of data-driven algorithms, the field of data science has adopted ethics training and principles. Although ethics can help data scientists reflect on…