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Artificial intelligence in science: Shut up and calculate

  • Autores: Ramón Alberto Carrasco González Árbol académico, Mario Arias Oliva Árbol académico, Jesús Serrano Guerrero Árbol académico, Francisco Chiclana Parrilla Árbol académico
  • 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 Árbol académico, Jorge Pelegrín Borondo, Kiyoshi Murata, Ana María Lara Palma Árbol académico, Manuel Ollé Sesé, 2024, ISBN 978-84-09-58160-3, págs. 36-39
  • Idioma: inglés
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  • Referencias bibliográficas
    • 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. & Carrasco, R. A. (2021). What Do Machines Think About? In [New] Normal Technology Ethics: Proceedings of the ETHICOMP 2021...
    • 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/...

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