Algunos desafíos éticos, académicos y políticos de la Inteligencia Artificial (IA)

Almarie, B., Teixeira, P. E. P., Pacheco-Barrios, K., Rossetti, C. A., & Fregni, F.(2023). Editorial - The Use of Large Language Models in Science: Opportunities and Challenges.Principles and practice of clinical research,9 (1), 1–4. https://doi.org/10.21801/ppcrj.2023.91.1

Bankins, S., Xinyu, H., and Yunyun, Y. (2024). Artificial Intelligence, Workers, and Future of Work Skills. Current Opinion in Psychology, 58, 101828. doi: 10.1016/J.COPSYC.2024.101828.

Baum, K., Mantel, S., Schmidt, E., and Speith, T. (2022). From Responsibility to Reason-Giving Explainable Artificial Intelligence. Philosophy and Technology 35(12). doi: 10.1007/S13347-022-00510-W.

Bostrom, N. (2024). Deep Utopia: Life and Meaning in a Solved World. IdeaPress Publishing: Washington, DC

ChatGPT. (2022). https://chat.openai.com/chat

Choudhary, V., Marchetti, A., Shrestha, Y. R., and Puranam, P.. (2023). Human-AI Ensembles: When Can They Work? Journal of Management. doi: 10.1177/01492063231194968.

Coeckelbergh, M. (2020). Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability Science and Engineering Ethics, 26(4),2051–68. doi: 10.1007/S11948-019-00146-8/METRICS.

Fallas-Vargas, F. y Morales Castro, C. (2024). Luces y Sombras de La Inteligencia Artificial: Ética, Crimen Organizado, Justicia, Industria Cultural y Minimalismo Cognitivo. Revista Estudios (Especial), 75–101. doi: 10.15517/RE.V0IESPECIAL.62988.

Filgueira, F. (2023). Desafíos de gobernanza de inteligencia artificial en América Latina. Infraestructura, descolonización y nueva dependencia. Revista Del CLAD Reforma y Democracia, (87), 44-70. https://doi.org/10.69733/clad.ryd.n87.a3

Gunkel, D. J. (2018). “Mind the Gap: Responsible Robotics and the Problem of Responsibility.” Ethics and Information Technology ,22(4), 307–20. doi: 10.1007/s10676-017-9428-2.

Robles Carrillo, M. (2024). La gobernanza de la inteligencia artificial: contexto y parámetros generales. Revista Electrónica De Estudios Internacionales, (39). https://reei.tirant.com/reei/article/view/2989

Sánchez Vázquez, C. y Toro-Valencia, J. (2021). El derecho al control humano: Una respuesta jurídica a la inteligencia artificial. Revista chilena de derecho tecnología ,10 (2), pp. 211–228. http://dx.doi.org/10.5354/0719-2584.2021.58745.

Silvero Arévalos, J. M. y Barúa Chamorro, J. E. (2024). Políticas de IA en el Cono Sur: Un Análisis Comparativo en el Marco de la Evaluación de la Universidad Nacional de Asunción. Revista Letra Magna,20(37), 71–85. https://ojs.ifsp.edu.br/index.php/magna/article/view/2698

Sonicki, Z. (2024). Large multi-modal models - the present or future of artificial intelligence in medicine?. Croatian medical journal, 65(1), 1–2. https://doi.org/10.3325/cmj.2024.65.1

Maarten, G. & Savona, M. (2024). The governance of artificial intelligence: Harnessing opportunities and mitigating challenges. Research Policy, 53 (3), 104928, https://doi.org/10.1016/j.respol.2023.104928.

UNESCO/IESALC. (2023). Oportunidades y desafíos de la era de la inteligencia artificial para la educación superior. Una introducción para los actores de la educación superior. Caracas, Venezuela. https://unesdoc.unesco.org/ark:/48223/pf0000386670_spa/PDF/386670spa.pdf.multi

Wei, L. (2021). Resource Guide on Artificial Intelligence. AI Strategies.New York. United Nations.

Zou, F. W., Tang, Y. F., Liu, C. Y., Ma, J. A., & Hu, C. H. (2020). Concordance Study Between IBM Watson for Oncology and Real Clinical Practice for Cervical Cancer Patients in China: A Retrospective Analysis.Frontiers in genetics,11, 200. https://doi.org/10.3389/fgene.2020.00200