A Novel Ethical Design Framework Applied to Image Classification Challenges in the Fashion Industry
Journal
Artificial Intelligence – COMIA 2025 : 17th Mexican Congress, Mexico City, Mexico, May 12–16, 2025, Proceedings, Part I
ISSN
1865-0929
1865-0937
Publisher
Springer Nature Switzerland
Date Issued
2025
Author(s)
Guillen Alvarez, Luis
Type
text::book::book part
Abstract
As artificial intelligence (AI) continues to play a pivotal role in image classification applications, the ethical implications of these technologies become increasingly significant. This paper explores the intersection of AI and ethics in the context of image classification, specifically focusing on the application of ethical design principles through a framework for a use of case in the fashion industry involving bags images and social media. This work delves into the integration of a comprehensive ethical framework around all the design process. The case study involves the development and implementation of a neural network tailored for bag image classification, leveraging transfer learning techniques. Through a meticulous examination of the ethical dimensions inherent in image classification, the study aims to establish a foundation for responsible and transparent AI practices. ©The authors ©Springer.
License
Acceso Restringido
How to cite
Guillen-Alvarez, L., Martínez-Villaseñor, L., Ponce, H. (2025). A Novel Ethical Design Framework Applied to Image Classification Challenges in the Fashion Industry. In: Martínez-Villaseñor, L., Martínez-Seis, B., Pichardo, O. (eds) Artificial Intelligence – COMIA 2025. COMIA 2025. Communications in Computer and Information Science, vol 2552. Springer, Cham. https://doi.org/10.1007/978-3-031-97907-1_26