Study on the Helpfulness of Explainable Artificial Intelligence
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63803-9_16
Reference45 articles.
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3. Badillo, S.: An introduction to machine learning. Clinical Pharmacol. Therapeut. 107(4), 871–885 (2020)
4. Bertrand, A., Belloum, R., Eagan, J.R., Maxwell, W.: How cognitive biases affect xai-assisted decision-making: a systematic review. In: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, pp. 78–91 (2022)
5. Cabitza, F., et al.: Quod erat demonstrandum?-towards a typology of the concept of explanation for the design of explainable AI. Expert Syst. Appl. 213, 118888 (2023)
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