Explainable Artificial Intelligence: A New Era of Artificial Intelligence


Darwish, A. (2022). Explainable Artificial Intelligence: A New Era of Artificial Intelligence. Digital Technologies Research and Applications, 1(1), 1. https://doi.org/10.54963/dtra.v1i1.29


  • Ashraf Darwish
    Faculty of Science, Helwan University, Cairo, Egypt
Recently, Artificial Intelligence (AI) has emerged as an emerging with advanced methodologies and innovative applications. With the rapid advancement of AI concepts and technologies, there has been a recent trend to add interpretability and explainability to the paradigm. With the increasing complexity of AI applications, their a relationship with data analytics, and the ubiquity of demanding applications in a variety of critical applications such as medicine, defense, justice and autonomous vehicles , there is an increasing need to associate the results with sound explanations to domain experts. All of these elements have contributed to Explainable Artificial Intelligence (XAI).


Artificial Intelligence


  1. Gohel, et al., 2017. Explainable AI: current status and future directions, Digital Object Identifier 10.1109.
  2. Angelov, P.P., Soares, E.A., Jiang, R., Arnold, N.I., Atkinson, P.M., 2021. Explainable artificial intelligence: an analytical review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 11(5), e1424. DOI: https://doi.org/10.1002/widm.1424.
  3. Soares, E., Angelov, P., Biaso, S., Higa Froes, M., Daniel Kanda Abe. SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARSCoV-2 identification. DOI: https://doi.org/10.1101/2020.04.24.20078584.
  4. Witold Pedrycz Shyi-Ming Chen, Interpretable Artificial Intelligence: A Perspective of Granular Computing. Studies in Computational Intelligence. Volume 937. DOI: https://doi.org/10.1007/978-3-030-64949-4.