Martinez-Villaseñor, Lourdes

Now showing 1 - 10 of 94

Some of the metrics are blocked by your
consent settings
Ethical Challenges in Demand Prediction: A Case Study in the Wholesale Grocery Sector
(Instituto Politécnico Nacional. Centro de Investigación en Computación, 2025)
Duarte, Jorge
;
Artificial Intelligence (AI) has emergedas a transformative tool in inventory management and demand prediction within the wholes ale grocerysector. By leveraging machine learning algorithms, businesses can analyze historical sales data, market trends, and seasonal variations to optimize inventory levels, reducing overstock and stockouts. AI-drivendemand prediction models provide accurate forecasts, enabling whole salers to anticipate customer needs and streamline supply chain operations. Thisarticle examines the ethical challenges associated with developing and implementing AI-driven demand prediction models in the wholesale grocery sector. As businesses seek to optimize their operations through artificial intelligence, significant ethical concerns arise that must be addressed to ensure responsible and fair implementation. This case study highlights the main ethical challenges identified in a grocery wholesaler, focusing on issues such as transparency, accountability, fairness, and human control. Through the analysis of aspecific demand prediction model, we discuss how these ethical concerns not only influence user acceptance of the model but also impact operational efficiency and customer satisfaction. The article aims to contribute to the ongoing dialogue on ethics in data science, providing insights and recommendations for companies looking to adopt predictive technologies ethically. ©The authors ©Computación y Sistemas © Instituto Politécnico Nacional. Centro de Investigación en Computación.
Some of the metrics are blocked by your
consent settings
Preface
(2025)
;
Vazquez Roberto A
;
Ochoa-ruiz Gilberto
Some of the metrics are blocked by your
consent settings
Preface : Artificial Intelligence – COMIA 2025 17th Mexican Congress, Mexico City, Mexico, May 12–16, 2025, Proceedings, Part I
(Springer Science and Business Media Deutschland GmbH, 2025)
;
Martínez-Seis, Bella
;
Pichardo-Lagunas, Obdulia
The Mexican Conference on Artificial Intelligence (COMIA) is an annual academic event organized by the Mexican Society for Artificial Intelligence (SMIA, Sociedad Mexicana de Inteligencia Artificial) since 2008. COMIA serves as the main national forum in the field of artificial intelligence (AI) and represents a key meeting point for the country’s academic and scientific community dedicated to AI. This year, COMIA 2025 was organized by the SMIA in collaboration with Universidad Panamericana; and was held from May 12 to 16, 2025, in Mexico City, Mexico.© The author ©Springer.
Some of the metrics are blocked by your
consent settings
A Novel Ethical Design Framework Applied to Image Classification Challenges in the Fashion Industry
(Springer Nature Switzerland, 2025)
Guillen Alvarez, Luis
;
;
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.
Some of the metrics are blocked by your
consent settings
Risk Factors for Hypertension and Health Policy
(Springer Nature Switzerland, 2025-10-20)
Maximino Navarro Mentado
;
;
Vladimir Salazar Altamirano
Some of the metrics are blocked by your
consent settings
MICAI and the Making of AI in Mexico Through 25 Years of Data-Driven Insight
(Springer Nature Switzerland, 2025-10-20)
Edgar Avalos-Gauna
;
Leon Palafox
;
Some of the metrics are blocked by your
consent settings
Ethical Considerations in the Development of Recommendation Systems: Boutique Travel Agency
(Springer Nature Switzerland, 2025)
Alćazar-Pérez, Rodolfo
;
This paper explores the ethical implications of implementing a recommendation system within a boutique travel agency specialized in personalized group travel experiences. It covers legal frameworks, internal policies, risk-benefit analyses, and ethical design principles to ensure fair, transparent, and privacy-respecting use of AI. ©The authors ©Springer.
Some of the metrics are blocked by your
consent settings
Towards a Distributed-Based Learning Robot from Scratch via Neuro-Evolutionary Computation
(Springer Nature Switzerland, 2025-10-20)
;
Some of the metrics are blocked by your
consent settings
Preface
(2025-01-01)
;
Gilberto Ochoa-ruiz
4
Some of the metrics are blocked by your
consent settings
Preface
(2024-01-01)
7

Martinez-Villaseñor, Lourdes

Filters

Settings

Sort By

Results per page