| Uncertainty as a form of transparency: Measuring, communicating, and using uncertainty U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato, G Melançon, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 401-413, 2021 | 390 | 2021 |
| A case for humans-in-the-loop: Decisions in the presence of erroneous algorithmic scores M De-Arteaga, R Fogliato, A Chouldechova Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 294 | 2020 |
| Who goes first? Influences of human-AI workflow on decision making in clinical imaging R Fogliato, S Chappidi, M Lungren, P Fisher, D Wilson, M Fitzke, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 121 | 2022 |
| Fairness Evaluation in Presence of Biased Noisy Labels R Fogliato, M G'Sell, A Chouldechova International Conference on Artificial Intelligence and Statistics 108, 2325 …, 2020 | 94 | 2020 |
| On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes R Fogliato, A Xiang, Z Lipton, D Nagin, A Chouldechova Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. 2021, 2021 | 56 | 2021 |
| The impact of algorithmic risk assessments on human predictions and its analysis via crowdsourcing studies R Fogliato, A Chouldechova, Z Lipton Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-24, 2021 | 44 | 2021 |
| Multicalibration for confidence scoring in llms G Detommaso, M Bertran, R Fogliato, A Roth arXiv preprint arXiv:2404.04689, 2024 | 43 | 2024 |
| A case for humans-in-the-loop: Decisions in the presence of misestimated algorithmic scores R Fogliato, M De-Arteaga, A Chouldechova Available at SSRN 4050125, 2022 | 22 | 2022 |
| Trajectories of prescription opioids filled over time J Elmer, R Fogliato, N Setia, W Mui, M Lynch, E Hulsey, D Nagin PLoS One 14 (10), e0222677, 2019 | 22 | 2019 |
| Racial Disparities in the Enforcement of Marijuana Violations in the US B Butcher, C Robinson, M Zilka, R Fogliato, C Ashurst, A Weller Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 130-143, 2022 | 16 | 2022 |
| The progression of disparities within the criminal justice system: Differential enforcement and risk assessment instruments M Zilka, R Fogliato, J Hron, B Butcher, C Ashurst, A Weller Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 15 | 2023 |
| Play favorites: A statistical method to measure self-bias in llm-as-a-judge E Spiliopoulou, R Fogliato, H Burnsky, T Soliman, J Ma, G Horwood, ... arXiv preprint arXiv:2508.06709, 2025 | 9 | 2025 |
| A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation R Fogliato, P Patil, M Monfort, P Perona European Conference on Computer Vision, 140-158, 2024 | 8 | 2024 |
| TRAP: a predictive framework for the Assessment of Performance in Trail Running R Fogliato, NL Oliveira, R Yurko Journal of Quantitative Analysis in Sports 1 (ahead-of-print), 2020 | 7* | 2020 |
| Estimating the likelihood of arrest from police records in presence of unreported crimes R Fogliato, AK Kuchibhotla, Z Lipton, D Nagin, A Xiang, A Chouldechova The Annals of Applied Statistics 18 (2), 1253-1274, 2024 | 6 | 2024 |
| Improving LLM Group Fairness on Tabular Data via In-Context Learning V Cherepanova, CJ Lee, NJ Akpinar, R Fogliato, MA Bertran, M Kearns, ... NeurIPS 2024 Third Table Representation Learning Workshop, 0 | 6* | |
| & Xiang, A.(2021, July). Uncertainty as a form of transparency: Measuring, communicating, and using uncertainty U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 401-413, 0 | 6 | |
| Stronger Neyman Regret Guarantees for Adaptive Experimental Design G Noarov, R Fogliato, M Bertran, A Roth arXiv preprint arXiv:2502.17427, 2025 | 3 | 2025 |
| Persona-augmented benchmarking: Evaluating llms across diverse writing styles K Truong, R Fogliato, H Heidari, S Wu Proceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025 | 2 | 2025 |
| Why PATTERN should not be used: The perils of using algorithmic risk assessment tools during COVID-19 A Xiang, R Fogliato, A Chouldechova Partnership on AI, 2020 | 2 | 2020 |
Alexandra ChouldechovaResearcher @ MSR NYC FATEVerified email at microsoft.com
