Publications

2022

Ben Green. “Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness.” Philosophy & Technology, vol. 35. 2022.
PDF | Publisher’s Version

Ben Green. “The Flaws of Policies Requiring Human Oversight of Government Algorithms,” Computer Law & Security Review, vol. 45. 2022.
Future of Privacy Forum Privacy Papers for Policymakers Award
PDF | Publisher’s Version

Yaniv Yacoby, Ben Green, Christopher L. Griffin, and Finale Doshi-Velez. “‘If it didn’t happen, why would I change my decision?’: How Judges Respond to Counterfactual Explanations for the Public Safety Assessment,” Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), vol. 10. 2022.
PDF | Publisher’s Version | arXiv (including appendix)

2021

Ben Green and Yiling Chen. “Algorithmic Risk Assessments Can Alter Human Decision-Making Processes in High-Stakes Government Contexts,” Proceedings of the ACM on Human-Computer Interaction, vol. 5, CSCW2. 2021.
PDF | Publisher’s Version

Ben Green. “Data Science as Political Action: Grounding Data Science in a Politics of Justice,” Journal of Social Computing, vol. 2, no. 3. 2021.
PDF | Publisher’s Version

Ben Green. “The Contestation of Tech Ethics: A Sociotechnical Approach to Ethics and Technology in Action,” Journal of Social Computing, vol. 2, no. 3. 2021.
PDF | Publisher’s Version

Ben Green (ed.) “Technology Ethics in Action: Critical and Interdisciplinary Perspectives,” Special Issue of the Journal of Social Computing. 2021.
PDF | Publisher’s Version (Part 1) | Publisher’s Version (Part 2)

Ben Green. “Reply: Hermeneutical injustice in sociotechnical systems,” Journal of Cross-disciplinary Research in Computational Law. 2021.
PDF | Publisher’s Version

2020

Ben Green and Salomé Viljoen. “Algorithmic Realism: Expanding the Boundaries of Algorithmic Thought,” Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAT*). 2020.
PDF | Publisher’s Version

Ben Green. “The False Promise of Risk Assessments: Epistemic Reform and the Limits of Fairness,” Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAT*). 2020.
PDF | Publisher’s Version

Ben Green. “Risky Reforms: A Sociotechnical Analysis of Algorithms as Tools for Social Change.” Dissertation. 2020.
PDF | Publisher’s Version

Ben Green and Yiling Chen. “Algorithm-in-the-Loop Decision Making,” AAAI-20 Sister Conference Track. 2020.
PDF | Publisher’s Version

2019

Ben Green. The Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future. MIT Press. 2019.
Publisher’s Version | Open Access Edition

Ben Green and Yiling Chen. “The Principles and Limits of Algorithm-in-the-Loop Decision Making,” Proceedings of the ACM on Human-Computer Interaction, vol. 3, CSCW. 2019.
Best Paper Award
PDF | Publisher’s Version

Ben Green and Yiling Chen. “Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments,” Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAT*). 2019.
Best Interdisciplinary and Technical Paper Award
PDF | Publisher’s Version

Ben Green. “‘Good’ isn’t good enough,” in NeurIPS Joint Workshop on AI for Social Good. 2019.
Best Paper Award (Public Policy Track)
PDF | Poster

2018

Ben Green. “‘Fair’ Risk Assessments: A Precarious Approach for Criminal Justice Reform,” in 5th Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML). 2018.
PDF

Ben Green and Lily Hu. “The Myth in the Methodology: Towards a Recontextualization of Fairness in Machine Learning,” in Machine Learning: The Debates workshop at the 35th International Conference on Machine Learning (ICML). 2018.
PDF

2017

Ben Green, Thibaut Horel, and Andrew V. Papachristos. “Modeling contagion through social networks to explain and predict gunshot violence in Chicago, 2006 to 2014,” JAMA Internal Medicine, vol. 177, no. 3. 2017.
PDF | Supplement PDF | Publisher’s Version

Ben Green, Gabe Cunningham, Ariel Ekblaw, Paul Kominers, Andrew Linzer, and. Susan Crawford. “Open Data Privacy: A risk-benefit, process-oriented approach to sharing and protecting municipal data,” Berkman Klein Center Research Publication. 2017.
PDF | Publisher’s Version

Ben Green, Paul Bardunias, J. Scott Turner, Radhika Nagpal, and Justin Werfel. “Excavation and aggregation as organizing factors in de novo construction by mound-building termites,” Proceedings of the Royal Society B, vol. 284, no. 1856. 2017.
PDF | Supplement PDF | Publisher’s Version

2015

Ben Green, Alejandra Caro, Matthew Conway, Robert Manduca, Tom Plagge, and Abby Miller. “Mining Administrative Data to Spur Urban Revitalization,” in Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2015.
PDF | Publisher’s Version

Ben Green. “Testing and Quantifying Collective Intelligence,” in Collective Intelligence. 2015.
PDF