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Ian René Solano-Kamaiko
Ian René Solano-Kamaiko
Cornell Tech
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
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
592022
Introducing contextual transparency for automated decision systems
M Sloane, IR Solano-Kamaiko, J Yuan, A Dasgupta, J Stoyanovich
Nature Machine Intelligence 5 (3), 187-195, 2023
72023
Explorable Explainable AI: Improving AI Understanding for Community Health Workers in India
IR Solano-Kamaiko, D Mishra, N Dell, A Vashistha
2024
Contextual Equity Tools: Technology Heuristics to Support Human Decision Making in STEM Admissions
IR Solano-Kamaiko
New York University Tandon School of Engineering, 2022
2022
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Articles 1–4