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Riccardo Fogliato
Riccardo Fogliato
Amazon Web Services
在 amazon.com 的电子邮件经过验证
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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
2302021
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
2012020
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
702020
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
512022
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
422021
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
302021
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
172019
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
132022
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
92022
Multicalibration for confidence scoring in LLMs
G Detommaso, M Bertran, R Fogliato, A Roth
arXiv preprint arXiv:2404.04689, 2024
22024
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
22023
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
2*2020
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
22020
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
12022
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
R Fogliato, P Patil, M Monfort, P Perona
arXiv preprint arXiv:2406.07320, 2024
2024
Confidence intervals for error rates in 1:1 matching tasks: Critical statistical analysis and recommendations
R Fogliato, P Patil, P Perona
International Journal of Computer Vision, 2024
2024
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
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
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