| The Principles and Limits of Algorithm-in-the-Loop Decision Making B Green, Y Chen Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-24, 2019 | 305 | 2019 |
| The Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future B Green MIT Press, 2019 | 294 | 2019 |
| AI Now 2019 Report K Crawford, R Dobbe, T Dryer, G Fried, B Green, E Kaziunas, A Kak, ... AI Now Institute, 2019 | 289* | 2019 |
| Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments B Green, Y Chen Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019 | 283 | 2019 |
| Modeling contagion through social networks to explain and predict gunshot violence in Chicago, 2006 to 2014 B Green, T Horel, AV Papachristos JAMA Internal Medicine 177 (3), 326-333, 2017 | 212 | 2017 |
| Data science as political action: Grounding data science in a politics of justice B Green Journal of Social Computing 2 (3), 249-265, 2021 | 167 | 2021 |
| Algorithmic Realism: Expanding the Boundaries of Algorithmic Thought B Green, S Viljoen Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2020 | 139 | 2020 |
| The Myth in the Methodology: Towards a Recontextualization of Fairness in Machine Learning B Green, L Hu Machine Learning: The Debates workshop at the 35th International Conference …, 2018 | 104 | 2018 |
| The flaws of policies requiring human oversight of government algorithms B Green Computer Law & Security Review 45, 105681, 2022 | 99 | 2022 |
| The False Promise of Risk Assessments: Epistemic Reform and the Limits of Fairness B Green Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2020 | 84 | 2020 |
| Good” isn’t good enough B Green Proceedings of the AI for Social Good workshop at NeurIPS 17, 2019 | 74 | 2019 |
| The contestation of tech ethics: A sociotechnical approach to technology ethics in practice B Green Journal of Social Computing 2 (3), 209-225, 2021 | 73 | 2021 |
| Escaping the impossibility of fairness: From formal to substantive algorithmic fairness B Green Philosophy & Technology 35 (4), 1-32, 2022 | 70 | 2022 |
| “Fair” Risk Assessments: A Precarious Approach for Criminal Justice Reform B Green 5th Workshop on Fairness, Accountability, and Transparency in Machine …, 2018 | 56 | 2018 |
| Algorithmic risk assessments can alter human decision-making processes in high-stakes government contexts B Green, Y Chen Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-33, 2021 | 54 | 2021 |
| Open data privacy B Green, G Cunningham, A Ekblaw, P Kominers, A Linzer, SP Crawford Berkman Klein Center Research Publication, 17-07, 2017 | 38 | 2017 |
| Excavation and aggregation as organizing factors in de novo construction by mound-building termites B Green, P Bardunias, JS Turner, R Nagpal, J Werfel Proceedings of the Royal Society B: Biological Sciences 284 (1856), 20162730, 2017 | 23 | 2017 |
| Privacy versus health is a false trade-off J Goldenfein, B Green, S Viljoen Jacobin, 2020 | 20 | 2020 |
| “If it didn’t happen, why would I change my decision?”: How Judges Respond to Counterfactual Explanations for the Public Safety Assessment Y Yacoby, B Green, CL Griffin Jr, F Doshi-Velez Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 10 …, 2022 | 14 | 2022 |
| Testing and Quantifying Collective Intelligence B Green Collective Intelligence Conference, 1-4, 2015 | 14 | 2015 |
Yiling ChenHarvard UniversityVerified email at seas.harvard.edu
