| It’s just not that simple: an empirical study of the accuracy-explainability trade-off in machine learning for public policy A Bell, I Solano-Kamaiko, O Nov, J Stoyanovich Proceedings of the 2022 ACM conference on fairness, accountability, and …, 2022 | 83 | 2022 |
| Think about the stakeholders first! Toward an algorithmic transparency playbook for regulatory compliance A Bell, O Nov, J Stoyanovich Data & Policy 5, e12, 2023 | 28 | 2023 |
| The possibility of fairness: Revisiting the impossibility theorem in practice A Bell, L Bynum, N Drushchak, T Zakharchenko, L Rosenblatt, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 19 | 2023 |
| Proactive advising: a machine learning driven approach to vaccine hesitancy A Bell, A Rich, M Teng, T Orešković, NB Bras, L Mestrinho, S Golubovic, ... 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-6, 2019 | 15 | 2019 |
| Algorithmic long-term unemployment risk assessment in use: Counselors’ perceptions and use practices L Zejnilović, S Lavado, Í Martínez de Rituerto de Troya, S Sim, A Bell Global Perspectives 1 (1), 12908, 2020 | 11 | 2020 |
| Setting the right expectations: Algorithmic recourse over time J Fonseca, A Bell, C Abrate, F Bonchi, J Stoyanovich Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023 | 7 | 2023 |
| Using data from randomized trials to assess the likely generalizability of educational treatment-effect estimates from regression discontinuity designs H Bloom, A Bell, K Reiman Journal of Research on Educational Effectiveness 13 (3), 488-517, 2020 | 7 | 2020 |
| The algorithmic transparency playbook A Bell, O Nov, J Stoyanovich Center for Responsible AI. Disponible en: https://dataresponsibly. github …, 2023 | 3 | 2023 |
| Machine learning informed decision-making with interpreted model’s outputs: A field intervention L Zejnilovic, S Lavado, C Soares, Í Martínez De Rituerto De Troya, A Bell, ... Academy of Management Proceedings 2021 (1), 15424, 2021 | 3 | 2021 |
| The Algorithmic Transparency Playbook: A Stakeholder-first Approach to Creating Transparency for Your Organization’s Algorithms A Bell, O Nov, J Stoyanovich Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023 | 2 | 2023 |
| The Game Of Recourse: Simulating Algorithmic Recourse over Time to Improve Its Reliability and Fairness. A Bell, J Fonseca, J Stoyanovich SIGMOD Conference Companion, 464-467, 2024 | | 2024 |
| Making Transparency Influencers: A Case Study of an Educational Approach to Improve Responsible AI Practices in News and Media A Bell, J Stoyanovich Extended Abstracts of the CHI Conference on Human Factors in Computing …, 2024 | | 2024 |
| Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity A Bell, J Fonseca, C Abrate, F Bonchi, J Stoyanovich arXiv preprint arXiv:2401.16088, 2024 | | 2024 |
| Decision-Making with Human-in-the-Loop: A Field Experiment of Explained AI in Public Administration L Zejnilovic, S Lavado, C Soares, Í Martínez de Rituerto de Troya, A Bell, ... Available at SSRN 3715529, 2023 | | 2023 |
