Cynthia Rudin
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.047 Zit. · Nature Machine Intelligence
Why black box machine learning should be avoided for high-stakes decisions, in brief
2022 · 87 Zit. · Nature Reviews Methods Primers
Stop Explaining Black Box Machine Learning Models for High Stakes\n Decisions and Use Interpretable Models Instead
2018 · 23 Zit. · arXiv (Cornell University)
From Artificial Intelligence (AI) to Intelligence Augmentation (IA): Design Principles, Potential Risks, and Emerging Issues
2023 · 18 Zit. · AIS Transactions on Human-Computer Interaction
Data solidarity for machine learning for embryo selection: a call for the creation of an open access repository of embryo data
2022 · 7 Zit. · Reproductive BioMedicine Online
Interpretable deep learning models for better clinician-AI communication in clinical mammography
2022 · 6 Zit.
AI reflections in 2019
2020 · 6 Zit. · Nature Machine Intelligence
Artificial intelligence for risk analysis and the risks of artificial intelligence: Part 1
2025 · 2 Zit. · Risk Analysis
A user interface to communicate interpretable AI decisions to radiologists (Erratum)
2023 · 0 Zit.