The ethics and epistemology of explanatory AI in medicine and healthcare
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s10676-022-09666-7.pdf
Reference6 articles.
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2. Holzinger, A., Carrington, A., & Müller, H. (2020). Measuring the Quality of Explanations: The System Causability Scale (SCS). KI - Künstliche Intelligenz, 34(2), 193–198. doi: https://doi.org/10.1007/s13218-020-00636-z
3. London, A. J. (2019). Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability. Hastings Center Report, 49(1), 15–21. doi: https://doi.org/10.1002/hast.973
4. López-Rubio, E., & Ratti, E. (2021). Data science and molecular biology: prediction and mechanistic explanation. Synthese, 198(4), 3131–3156.
5. Srećković, S., Berber, A., & Nenad Filipović. (2021). and. The Automated Laplacean Demon: How ML Challenges Our Views on Prediction and Explanation. Minds and Machines, https://doi.org/10.1007/s11023-021-09575-6, 1–25.
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