Requirements on and Procurement of Explainable Algorithms—A Systematic Review of the Literature
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66635-3_4
Reference54 articles.
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2. Alison Paprica, P., et al.: Essential requirements for establishing and operating data trusts. Int. J. Popul. Data Sci. 5(1) (2020). https://doi.org/10.23889/IJPDS.V5I1.1353
3. Andrus, M., Spitzer, E., Brown, J., Xiang, A.: What we can’t measure, we can’t understand. In: ACM Conference on Fairness, Accountability, and Transparency, pp. 249–260 (2021). https://doi.org/10.1145/3442188.3445888
4. Barclay, I., Abramson, W.: Identifying roles, requirements and responsibilities in trustworthy AI systems. In: Adjunct Proceedings of UbiComp/ISWC, pp. 264–271 (2021). https://doi.org/10.1145/3460418.3479344
5. Bibal, A., Lognoul, M., de Streel, A., Frénay, B.: Legal requirements on explainability in machine learning. Artif. Intell. Law 29(2), 149–169 (2021). https://doi.org/10.1007/s10506-020-09270-4
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