Díaz-Rodríguez, Natalia

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., García, S., Gil-López, S., Molina, D., Benjamins, R., et al. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 11,321

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 10,423

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Ali, S., Abuhmed, T., El-Sappagh, S., Muhammad, K., Alonso-Moral, J. M., Confalonieri, R., Guidotti, R., Del Ser, J., Díaz-Rodríguez, N., & Herrera, F. (2023) · Information Fusion

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 1,762

Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

Díaz-Rodríguez, N., Del Ser, J., Coeckelbergh, M., López de Prado, M., Herrera-Viedma, E., & Herrera, F. (2023) · Information Fusion

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 800

Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

Pisoni, G., Díaz-Rodríguez, N., Gijlers, H., & Tonolli, L. (2021) · Applied Sciences

Museums and Cultural HeritageInnovative Human-Technology Interaction

Cited by 183

On generating trustworthy counterfactual explanations

Del Ser, J., Barredo-Arrieta, A., Díaz-Rodríguez, N., Herrera, F., Saranti, A., & Holzinger, A. (2024) · Information Sciences

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 122

Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey

Rojat, T., Puget, R., Filliat, D., Del Ser, J., Gelin, R., & Díaz-Rodríguez, N. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Time Series Analysis and Forecasting

Cited by 116

Responsible and human centric AI-based insurance advisors

Pisoni, G., & Díaz-Rodríguez, N. (2023) · Information Processing & Management

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 42

Towards Explainable Neural-Symbolic Visual Reasoning

Bennetot, A., Laurent, J.-L., Chatila, R., & Díaz-Rodríguez, N. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Multimodal Machine Learning Applications

Cited by 32

Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer

Traoré, R., Caselles-Dupré, H., Lesort, T., Sun, T., Díaz-Rodríguez, N., & Filliat, D. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 24

Gender and sex bias in COVID-19 epidemiological data through the lens of causality

Díaz-Rodríguez, N., Binkytė, R., Bakkali, W., Bookseller, S., Tubaro, P., Bacevičius, A., Zhioua, S., & Chatila, R. (2023) · Information Processing & Management

Sex and Gender in HealthcareEthics and Social Impacts of AI

Cited by 15

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case

Díaz-Rodríguez, N., Lamas, A., Sanchez, J., Franchi, G., Donadello, I., Tabik, S., Filliat, D., Cruz, P., Montes, R., & Herrera, F. (2022) · Information Fusion

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 2