| 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 | 213 | 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 | 189 | 2020 |
| 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 | 67 | 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 | 44 | 2022 |
| 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 | 40 | 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 | 28 | 2021 |
| 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 | 15 | 2019 |
| 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, 2022 | 12 | 2022 |
| 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 | 7 | 2022 |
| 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 |
| Homophily and Incentive Effects in Use of Algorithms R Fogliato, S Fazelpour, S Gupta, Z Lipton, D Danks Proceedings of the Annual Meeting of the Cognitive Science Society, 44, 2022 | 1 | 2022 |
| 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 | 1* | 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 | | 2024 |
| Multicalibration for Confidence Scoring in LLMs G Detommaso, M Bertran, R Fogliato, A Roth arXiv preprint arXiv:2404.04689, 2024 | | 2024 |
| 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 | | 2023 |
| Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations R Fogliato, P Patil, P Perona arXiv preprint arXiv:2306.01198, 2023 | | 2023 |
| Data and Humans in Algorithmic Risk Assessment R Fogliato Carnegie Mellon University, 2022 | | 2022 |
| maars: Tidy Inference under the 'Models as Approximations' Framework in R R Fogliato, S Shrotriya, AK Kuchibhotla arXiv preprint arXiv:2106.11188, 2021 | | 2021 |
Alexandra ChouldechovaAssociate Professor of Statistics & Public Policy @ Heinz College, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
