Conceptualización metafórica de la IA en el discurso digital

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Montserrat Esbrí-Blasco

Resumen

Este estudio investiga las metáforas conceptuales empleadas para caracterizar la Inteligencia Artificial (IA) en el discurso público digital. Al utilizar un enfoque semántico-cognitivo, esta investigación tiene como objetivo descubrir cómo las metáforas dan forma a las percepciones sociales sobre la IA, revelando los mecanismos cognitivos involucrados en la comprensión de esta tecnología en rápida evolución. Se ha combinado una versión adaptada del Metaphor Identification Prodecure (MIP) con marcos semánticos para analizar los mapeos metafóricos entre los marcos fuente y meta, ofreciendo un análisis más preciso de la estructura conceptual de las metáforas. El análisis revela un espectro de metáforas que retratan a la IA tanto como un buen compañero como una amenaza potencial, reflejando diversas actitudes y preocupaciones sobre su integración en la sociedad. Al centrarse en el nivel de marcos, este estudio proporciona una comprensión detallada de cómo diferentes aspectos de la IA se conciben a través de marcos semánticos familiares. Los hallazgos contribuyen al campo de la Semántica Cognitiva y aportan perspectivas valiosas para desarrolladores de IA, educadores y comunicadores, enfatizando la importancia de las metáforas en la configuración de la comprensión de la sociedad sobre las tecnologías emergentes.

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Esbrí-Blasco, M. (2024). Conceptualización metafórica de la IA en el discurso digital. methaodos.Revista De Ciencias Sociales, 12(2), m241202a07. https://doi.org/10.17502/mrcs.v12i2.824
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Anderson, S. S. (2023). “Places to stand”: Multiple metaphors for framing ChatGPT’s corpus. Computers and Composition, 68, 102778. https://doi.org/10.1016/j.compcom.2023.102778

Burgers, C. (2016). Conceptualizing change in communication through metaphor. Journal of Communication, 66(2), 250-265. https://doi.org/10.1111/jcom.12211

Carbonell, J., Sánchez-Esguevillas, A., & Carro, B. (2016). The role of metaphors in the development of technologies. The case of artificial intelligence. Futures, 84, 145- 153. https://doi.org/10.1016/j.futures.2016.03.019

Cockburn, I., Henderson, R., & Stern, S. (2019). The impact of Artificial Intelligence on innovation: An exploratory analysis. In A. Agrawal, J. Gans & A. Goldfarb (Eds.), The economics of Artificial Intelligence: An agenda (pp. 115-148). University of Chicago Press.

Endsley, R. (2017, March 22). 5 big ways AI is rapidly invading our lives. Opensource. https://opensource.com/article/17/3/5-big-ways-ai-rapidly-invading-our-lives

Esbrí-Blasco, M. (2024). A taste of metaphor variation: Contrasting the metaphorical extensions of “stew” and “guisar”. Respectus Philologicus, 45(50), 9-24. https://doi.org/10.15388/RESPECTUS.2024.45(50).1

Esbrí-Blasco, M. & Navarro i Ferrando, I. (2023). Thematic role mappings in metaphor variation: contrasting English bake and Spanish hornear. Poznan Studies in Contemporary Linguistics, 59(1), 43- 64. https://doi.org/10.1515/psicl-2022-1020

Fillmore, C. J. (1982). Frame Semantics. In The Linguistic Society of Korea (Ed.), Linguistics in the morning calm (pp.111-137). Hanshin.

Floridi, L. (2019). What the near future of artificial intelligence could be. Philosophy & Technology, 32(1), 1–15. https://doi.org/10.1007/s13347-019-00345-y

Fuel Cycle. (2023, July 19). AI as the copilot: Practical use cases for researchers. Fuel Cycle Blog. https://fuelcycle.com/blog/ai-as-the-copilot-practical-use-cases-for-researchers/

Gupta, A., Atef, Y., Mills, A., & Bali, M. (2024). Assistant, Parrot, or Colonizing Loudspeaker? ChatGPT Metaphors for Developing Critical AI Literacies. Open Praxis, 16(1), 37- 53. https://doi.org/10.55982/openpraxis.16.1.631

Hofman, J. M., Foldstein, D. G., & Rothschild, D. M. (2023, December 4). A sports analogy for understanding different ways to use AI. AI and Machine Learning. Available in: https://is.gd/kIAmys

Johnson, D. G., & Verdicchio, M. (2017). Reframing AI Discourse. Minds & Machines, 27, 575- 590. https://doi.org/10.1007/s11023-017-9417-6

Johnson, M. (1987). The body in the mind: The bodily basis of meaning, imagination, and reason. University of Chicago Press.

Kövecses, Z. (2020). Extended conceptual metaphor theory. Cambridge: Cambridge University Press.

Kuzior, A., & Kwilinski, A. (2022). Cognitive technologies and Artificial Intelligence in social perception. Management Systems in Production Engineering, 30(2), 109-115. https://doi.org/10.2478/mspe-2022-0014

Lakoff, G. (1993). The Contemporary Theory of Metaphor. In A. Ortony (Ed.), Metaphor and thought (2nd ed., pp. 202-251). Cambridge University Press.

Lakoff, G., & Johnson, M. (1980). Metaphors We Live By, Chicago, IL: The University of Chicago Press.

Lim, E. M. (2024). Metaphor analysis on pre-service early childhood teachers' conception of AI (Artificial Intelligence) education for young children. Thinking Skills and Creativity, 51, 101455. https://doi.org/10.1016/j.tsc.2023.101455

Lingel, J. (2018). Clones and cyborgs: Metaphors of Artificial Intelligence. In Z. Papacharissi (Ed.), A networked self and human augmentics, Artificial Intelligence, sentience (pp. 137- 151). Routledge. https://doi.org/10.4324/9781315202082

Little, J. D. (2023, June 20). Artificial Intelligence is the new guide dog for everyone. Digital Experience. https://www.cmswire.com/digital-experience/artificial-intelligence-is-the-new-guide-dog-for-everyone/

Muelas-Gil, M. (2019). Ideology, metaphor and persuasion in times of elections: a corpus-based study of British and Spanish economic reports. Complutense Journal of English Studies, 27, 223- 246. https://doi.org/10.5209/cjes.63865

Navarro i Ferrando, I., & Esbrí-Blasco, M. (2024). Frames and semantic roles in metaphorical mappings: A contrastive study of English boil and Spanish hervir. Review of Cognitive Linguistics. https://doi.org/10.1075/rcl.00180.nav

Peters, M. (2023, April 14). How to think about artificial intelligence. CAI. Available in: https://www.cai.io/resources/thought-leadership/how-to-think-about-artificial-intelligence

Pragglejaz Group. (2007). MIP: A Method for Identifying Metaphorically Used Words in Discourse, Metaphor and Symbol, 22(1), 1-39. https://doi.org/10.1080/10926480709336752

Proggio. (2024, February 21). AI is your new copilot. Here is how to fly the plane. Project Portfolio Management. Available in: https://is.gd/o6k92a

Sartori, L., & Bocca, G. (2023). Minding the gap(s): public perceptions of AI and socio-technical imaginaries. AI & Society, 38(2), 443-458. https://doi.org/10.1007/s00146-022-01422-1

Sipper, M., & Moore, J. H. (2019, January, 24). The aliens have landed-But they are not smart enough to take over. Newsweek. Available in: https://is.gd/lnnNqx

Strakhov, G. (2023). AI is not a horse. Essays. Thoughts. Letters. https://essays.georgestrakhov.com/ai-is-not-a-horse/

Sullivan, K. (2013). Frames and constructions in metaphoric language. Benjamins.

Sutherlin, G. (2023). Who is the human in the machine? Releasing the human-machine metaphor from its cultural roots to increase innovation and equity in AI. AI Ethics. https://doi.org/10.1007/s43681-023-00382-6

Tham, J. C. K., Burnham, K. D., Hocutt, D. L., Ranade, N., Misak, J., Duin, A. H., Pedersen, I., & Campbell, J. L. (2021). Metaphors, mental models, and multiplicity: Understanding student perception of digital literacy. Computers and Composition, 59, 102628. https://doi.org/10.1016/j.compcom.2021.102628

Zeng, W. H., & Ahrens, K. (2023). Corpus-Based Metaphorical Framing Analysis: WAR Metaphors in Hong Kong Public Discourse. Metaphor and Symbol, 38(3), 254- 274. https://doi.org/10.1080/10926488.2022.2158088

Zerrini, N. (2024, April 3). AI ecosystem and hubs: Nurturing the garden of technological innovation. Available in: https://is.gd/cpJEDk