A Brief Review of Explainable Artificial Intelligence Reviews and Methods

Author:

Sarac Ferdi

Publisher

Springer International Publishing

Reference56 articles.

1. IDC. (2022). Worldwide spending on AI-centric systems will pass $300 billion by 2026. https://www.idc.com/getdoc.jsp?containerId=prUS49670322. Accessed 18 Dec 2022.

2. Islam, S. R., Eberle, W., Ghafoor, S. K., & Ahmed, M. (2021). Explainable artificial intelligence approaches: A survey. arXiv preprint arXiv:2101.09429.

3. Adadi, A., & Berrada, M. (2018). Peeking inside the black-box: A survey on explainable artificial intelligence (XAI). IEEE Access, 6, 52138–52160.

4. Linardatos, P., Papastefanopoulos, V., & Kotsiantis, S. (2020). Explainable AI: A review of machine learning interpretability methods. Entropy, 23(1), 18.

5. Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. Artificial Intelligence, 267, 1–38.

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