Artificial intelligence in science: Shut up and calculate
Autores:Ramón Alberto Carrasco González , Mario Arias Oliva , Jesús Serrano Guerrero, Francisco Chiclana Parrilla
Localización:Smart Ethics in the Digital World: Proceedings of the ETHICOMP 2024. 21st International Conference on the Ethical and Social Impacts of ICT / coord. por Mario Arias Oliva , Jorge Pelegrín Borondo, Kiyoshi Murata, Ana María Lara Palma , Manuel Ollé Sesé, 2024, ISBN 978-84-09-58160-3, págs. 36-39
Das, S., Agarwal, N., Venugopal, D., Sheldon, F. T., & Shiva, S. (2020, December). Taxonomy and survey of interpretable machine learning...
David Mermin, N. (1989). What's wrong with this pillow? Physics Today, 42(4), 9-11. Retrieved from https://doi.org/10.1063/1.2810963
Giovanola, B., & Tiribelli, S. (2023). Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning...
Gunning, D., & Aha, D. (2019). DARPA’s explainable artificial intelligence (XAI) program. AI magazine, 40(2), 44-58. https://doi.org/10.1609/aimag.v40i2.2850
Marín, G., Galán, J. J., & Carrasco, R. A. (2022). XAI for Churn Prediction in B2B Models: A Use Case in an Enterprise Software Company....
Monje, L., Carrasco, R. A., Rosado, C., & Sánchez-Montañés, M. (2022). Deep learning XAI for bus passenger forecasting: A use case in...
Yapo, A., & Weiss, J. (2018). Ethical implications of bias in machine learning. Retrieved from https://scholarspace.manoa.hawaii.edu/bitstreams/d062bd2a-df54-48d4-b27e-76d903b9caaa/...