Explainability as the key ingredient for AI adoption in Industry 5.0 settings
- DOI
- 10.3389/frai.2023.1264372
- Published
- 2023-12-11
- Container
- Frontiers in Artificial Intelligence
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2023.1264372,
title = {Explainability as the key ingredient for AI adoption in Industry 5.0 settings},
author = {Carlos Agostinho and Zoumpolia Dikopoulou and Eleni Lavasa and Konstantinos Perakis and Stamatis Pitsios and Rui Branco and Sangeetha Reji and Jonas Hetterich and Evmorfia Biliri and Fenareti Lampathaki and Silvia Rodríguez Del Rey and Vasileios Gkolemis},
year = {2023},
journal = {Frontiers in Artificial Intelligence},
doi = {10.3389/frai.2023.1264372},
url = {https://doi.org/10.3389/frai.2023.1264372}
}RIS
TY - JOUR TI - Explainability as the key ingredient for AI adoption in Industry 5.0 settings AU - Carlos Agostinho AU - Zoumpolia Dikopoulou AU - Eleni Lavasa AU - Konstantinos Perakis AU - Stamatis Pitsios AU - Rui Branco AU - Sangeetha Reji AU - Jonas Hetterich AU - Evmorfia Biliri AU - Fenareti Lampathaki AU - Silvia Rodríguez Del Rey AU - Vasileios Gkolemis PY - 2023 JO - Frontiers in Artificial Intelligence DO - 10.3389/frai.2023.1264372 UR - https://doi.org/10.3389/frai.2023.1264372 ER -
APA
Agostinho, C., Dikopoulou, Z., Lavasa, E., Perakis, K., Pitsios, S., Branco, R., Reji, S., Hetterich, J., Biliri, E., Lampathaki, F., Rey, S. R. D., & Gkolemis, V. (2023). Explainability as the key ingredient for AI adoption in Industry 5.0 settings. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2023.1264372
Source records
- crossref · retrieved 2026-09-25T05:51:25.398Z