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CORRECTION article

Front. Artif. Intell., 20 February 2023
Sec. Artificial Intelligence in Finance
Volume 6 - 2023 | https://doi.org/10.3389/frai.2023.1157762

Corrigendum: Editorial: Explainable artificial intelligence models and methods in finance and healthcare

\nBrian S. Caffo Brian S. Caffo1*Fabio A. D&#x;AsaroFabio A. D'Asaro2Artur GarcezArtur Garcez3Emanuela RaffinettiEmanuela Raffinetti4
  • 1Department of Biostatistics, Johns Hopkins University, Baltimore, MD, United States
  • 2Department of Human Sciences, University of Verona, Verona, Italy
  • 3Department of Computer Science, City University of London, London, United Kingdom
  • 4Department of Economics and Management, University of Pavia, Pavia, Italy

A corrigendum on
Editorial: Explainable artificial intelligence models and methods in finance and healthcare

by Caffo, B. S., D'Asaro, F. A., Garcez, A., and Raffinetti, E. (2022). Front. Artif. Intell. 5:970246. doi: 10.3389/frai.2022.970246

In the published article, there was an error in the Acknowledgments statement. The mistake was related to the part referring to the ER acknowledgments, and more precisely in the Grant Agreement No. of the European xAIM (eXplainable Artificial Intelligence in healthcare Management), which was incorrectly written as INEA/CEF/ICT/A2020/2265375. The correct Acknowledgments statement appears below:

Acknowledgments

The editors of the special issue would like to thank the Frontiers editorial staff, the authors for their precious contributions to the special issue and the reviewers for their timely review work. ER acknowledges support from the European xAIM (eXplainable Artificial Intelligence in healthcare Management) project supported by the CEF Telecom under Grant Agreement No. INEA/CEF/ICT/A2020/2276680.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: artificial intelligence, explainability, generalizability, machine learning, parsimony, forecasting

Citation: Caffo BS, D'Asaro FA, Garcez A and Raffinetti E (2023) Corrigendum: Editorial: Explainable artificial intelligence models and methods in finance and healthcare. Front. Artif. Intell. 6:1157762. doi: 10.3389/frai.2023.1157762

Received: 03 February 2023; Accepted: 06 February 2023;
Published: 20 February 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2023 Caffo, D'Asaro, Garcez and Raffinetti. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Brian S. Caffo, yes bcaffo1@jhu.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.