Integrating Artificial Intelligence into Scholarly Communications for Enhanced Human Cognitive Abilities: The War for Philosophy?
DOI:
https://doi.org/10.51660/riftp.v4i1.93Palabras clave:
IA, comunicación académica, universidades,, datos y materiales abiertos, capacidades cognitivas humanasResumen
Este artículo explora la integración de la IA en la comunicación académica para mejorar las capacidades cognitivas humanas. La concepción de la comunicación hombre-máquina (CMM), que considera las tecnologías basadas en la IA no como objetos interactivos, sino como sujetos comunicativos, plantea cuestiones más filosóficas en la comunicación académica. Es un hecho conocido que existe una mayor interacción entre los humanos y las máquinas, especialmente consolidada por la pandemia COVID-19, que intensificó el desarrollo del Sistema de Aprendizaje Adaptativo Individual, por lo que necesariamente se requieren aportaciones de las IN para fortalecer la IA. Esto posicionó a la universidad en la yuxtaposición de asegurar la producción de individuos altamente talentosos que puedan continuar pensando más allá de lo pensable inteligentemente y permitir a los expertos en IA continuar construyendo algoritmos que puedan llevar el desarrollo de la tecnología al siguiente nivel. Para llevar a cabo tal tarea, la producción investigadora es primordial para conectar la universidad y la industria editorial. Este artículo examina de forma crítica componentes importantes e intenta hacer justicia a la emanación de preguntas críticas de los investigadores (NI), alimentando así el desarrollo de la tecnología (IA).
Descargas
Referencias
Adakawa, M. I. (2022). D-Space, makerspace, and hackerspace in cyberspace: Cybersecurity strategies for digital preservation of library resources in the post-Covid-19 pandemic. Advanced Notes in Information Science, 1, 59-89. https://doi.org/10.47909/anis.978-9916-9760-0-5.98
Adakawa, M. I., & Harinarayana, N. S. (2022). Scholarly communication practice and research collaboration pattern of scholars during COVID-19 pandemic: Triple helix theory perspective. Society for Information Science Annual Convention and Seminar 2022 on "Information Science and Communication: Opportunities, Expectations, and Strategies" held on 14-15 October 2022 at the India International Centre, New Delhi, India.
Adakawa, M. I., & Harinarayana, N. S. (2022). Transforming library and research services for a promising scholarly world: A review. National Conference on Changing Dimensions of Scholarly Communication and Role of Libraries to Attain Inclusive Knowledge Society (September 6-7, 2022) organized by the Department of Library and Information Science, University of Kashmir, India.
Athanassoulis, N. (2012). Virtue ethics. UK: Continuum International Publishing Group.
Azmi, E. A. (2020). Artificial intelligence and adaptive learning: The power of being so personalized in education. DOI: 10.33850/ejev.2020.73465
Bartling, S., & Friesike, S. (2014). Research funding in open science - Opening science: The evolving guide on how the internet is changing research, collaboration and scholarly publishing. SpringerOpen. DOI 10.1007/978-3-319-00026-8
Bower, A. H., & Steyvers, M. (2021). Perceptions of AI engaging in human expression. Scientific Reports, 11, 21181. https://doi.org/10.1038/s41598-021-00426-z
Bowman, N. D., & Spence, P. R. (2020). Challenges and best practices associated with sharing research materials and research data for communication scholars. Communication Studies, 71(4), 708–716. DOI: https://doi.org/10.1080/10510974.2020.1799488
Brailsford, I. (2010). Motives and aspirations for doctoral study: Career, personal, and inter-personal factors in the decision to embark on a history PhD. International Journal of Doctoral Studies, 5, 15-27. DOI: 10.28945/710
Brod, G., & Breitwieser, J. (2019). Lighting the wick in the candle of learning: generating a prediction stimulates curiosity. NPJ Science of Learning, 4(17), 1-7. https://doi.org/10.1038/s41539-019-0056-
Canca, C. (2020). How to solve AI’s ethical puzzles. [Video]. https://www.youtube.com/watch?v=cplucNW70II
Cantoni, D., & Yuchtman, N. (2012). Medieval universities, legal institutions, and the commercial revolution. Working Paper 17979, National Bureau of Economic Research 1050, Massachusetts Avenue Cambridge. https://www.nber.org/system/files/working_papers/w17979/w17979.pdf
Capuano, N., & Caballé, S. (2020). Adaptive learning technologies. AI Magazine, 96-98. https://onlinelibrary.wiley.com/doi/epdf/10.1609/aimag.v41i2.5317?src=getftr
Checco, A., Bracciale, L., Loreti, P., Pinfield, S., & Bianchi, G. (2021). AI-assisted peer review. Humanities & Social Sciences Communications, 8(25), 1-11. https://doi.org/10.1057/s41599-020-00703-8
Chemouil, P., Hui, P., Kellerer, W., Li, Y., Stadler, R., Tao, D., Wen, Y., & Zhang, Y. (2019). Special issue on Artificial Intelligence and machine learning for networking and communications. IEEE Journal on Selected Areas in Communications, 37(6), 1185-1191. DOI: 10.1109/JSAC.2019.2909076
Clement, M. C., & DeRosa, L. (nd). Are you considering a doctoral degree? [PDF]. http://www.kdp.org/resources/pdf/careercenter/Considering_a_Doctoral_Degree.pdf
Comm, J. (2014). Being human in a digital age. [Video]. https://www.youtube.com/watch?v=Eewvsw027jg
Fecher, B., & Friesike, S. (2014). Open science: One term, five schools of thought. In Bartling, S., & Friesike, S. Research funding in open science - Opening science: The evolving guide on how the internet is changing research, collaboration and scholarly publishing. Springer Open. DOI 10.1007/978-3-319-00026-8
Gabriel, A. (2019). Artificial intelligence in scholarly communications: An Elsevier case study. Information Services & Use, 1, 1-15. DOI 10.3233/ISU-190063
Gambelin, O. (2022). How will ethics change the future of technology? [Video]. https://www.youtube.com/watch?v=H9Esi2kDUsc
Global Database. (2020). Big data vs open data: What is the difference? [Webpage]. https://uk.globaldatabase.com/article/big-data-vs-open-data-what-s-the-difference
Global Market Insight. (2023). AI in Education Market Size - By Component (Solution, Service), By Deployment (On-premise, Cloud), By Technology (Machine Learning, Deep Learning, Natural Language Processing), Application, End-use & Forecast, 2023-2032. https://www.gminsights.com/industry-analysis/artificial-intelligence-ai-in-education-market
Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4, 134-147. DOI: https://doi.org/10.1016/j.ijis.2020.09.001
Guo, P. J. (2014). The single most practical reason for pursuing a PhD that I can think of (and I've thought a lot about this topic!). [Webpage]. http://www.pgbovine.net/practical-reason-to-pursue-PhD.htm
Guzman, A. L., & Lewis, S. C. (2020). Artificial intelligence and communication: A human–machine communication research agenda. New Media & Society, 22(1), 70–86. DOI.org/10.1177/1461444819858691
Habran, E., Saulpic, O., & Zarlowski, P. (2018). Digitalization in healthcare: An analysis of projects proposed by practitioners. British Journal of Healthcare Management, 24(3), 1-7. DOI: 10.12968/bjhc.2018.24.3.150
Haskins, C. H. (1923). The rise of universities. Brown University, the Colver Lectures. New York: Henry Holt and Company. https://ia801003.us.archive.org/21/items/riseofuniversiti00hask/riseofuniversiti00hask.pdf
Hohenstein, J., Kizilcec, R. F., DiFranzo, D., Aghajari, Z., Mieczkowski, H., Levy, K., Naaman, M., Hancock, J., & Jung, M. F. (2023). Artificial intelligence in communication impacts language and social relationships. Scientific Reports, 13, 5487. https://doi.org/10.1038/s41598-023-30938-9
Human, S., & Watkins, R. (2023). Needs and artificial intelligence. AI and Ethics, 3, 811–826. https://doi.org/10.1007/s43681-022-00206-z
Junco, R., Heiberger, G., & Loken, E. (2010). The effect of Twitter on college student engagement and grades. Journal of Computer Assisted Learning, 1-15. DOI: 10.1111/j.1365-2729.2010.00387.x
Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 1-12. https://doi.org/10.1016/j.caeai.2021.100017
Koivisto, M., & Grassini, S. (2023). Best humans still outperform artificial intelligence in a creative divergent thinking task. Scientific Reports, 13, 13601. https://doi.org/10.1038/s41598-023-40858-3
Krechetov, I., & Romanenko, V. (2020). Implementing the adaptive learning techniques. Educational Studies Moscow, 2, 252-277. DOI: 10.17323/1814-9545-2020-2-252-277
Kuhn, T. S. (1962). The structure of scientific revolutions. 2nd ed. Foundations of the Unity of Science, USA.
Latham, G. P., & Locke, E. A. (1991). Self-regulation through goal setting. Academy of Management Review, 50, 212-247. DOI: 10.2307/258875
Leonhard, G. (2014). Digital ethics and the future of humans in a connected world. [Video]. https://www.youtube.com/watch?v=bZn0IfOb61U
Locke, E. A., & Latham, G. P. (1990). A theory of goal setting and task performance. Englewood Cliffs, NJ: PrenticeHall.
Locke, E. A., & Latham, G. P. (2006). New directions in goal-setting theory. Current Directions in Psychological Science, 15(5). DOI: 10.1111/j.1467-8721.2006.00449.x
Loorbach, D. A., & Wittmayer, J. (2023). Transforming universities: Mobilizing research and education for sustainability transitions at Erasmus University Rotterdam, The Netherlands. Sustainability Science, 1-15. https://doi.org/10.1007/s11625-023-01335-y
Mrowinski, M. J., Fronczak, P., Fronczak, A., Ausloos, M., & Nedic, O. (2017). Artificial intelligence in peer review: How can evolutionary computation support journal editors? [PDF]. https://arxiv.org/ftp/arxiv/papers/1712/1712.01682.pdf
Müller, V. C. (2021). Ethics of artificial intelligence. In E. Anthony (ed.), The Routledge social science handbook of AI. London: Routledge. http://www.sophia.de
Mujtaba, B. G., Scharff, M. M., Cavico, F. J., & Mujtaba, M. G. (2007). Challenges and joys of earning a doctorate degree: Overcoming the “ABD” phenomenon. [PDF]. https://www.researchgate.net/publication/228816901_Challenges_and_Joys_of_Earning_a_Doctorate_Degree_Overcoming_the_ABD_Phenomenon
Oke, S. A. (2008). A Literature review on artificial intelligence. International Journal of Information and Management Sciences, 19(4), 535-570.
Ordóñez, L. D., Schweitzer, M. E., Galinsky, A. D., & Bazerman, M. (2009). Goals gone wild: The systematic side effects of over-prescribing goal setting. Academy of Management Perspectives, 23, 6-16. DOI: 10.2139/ssrn.1332071
Poli, R. (2020). Handbook of anticipation: Theoretical and applied aspects of the use of future in decision making. https://link.springer.com/referencework/10.1007/978-3-319-31737-3?page=3#toc
Severin, A., et al. (2022). The researchers using AI to analyse peer review. Nature, 609, 455. https://www.nature.com/articles/d41586-022-02787-5
Severin, A., Strinzel, M., Egger, M., Domingo, M., & Barros, T. (2021). Characteristics of scholars who review for predatory and legitimate journals: linkage study of Cabells Scholarly Analytics and Publons data. BMJ Open, 11, e050270. doi:10.1136/bmjopen2021-050270
Siegel, M. H., Magid, R. W., Pelz, M., Tenenbaum, J. B., & Schulz, L. E. (2021). Children’s exploratory play tracks the discriminability of hypotheses. Nature Communications, 12, 3598. https://doi.org/10.1038/s41467-021-23431-2
Singh, G., Mishra, A., & Sagar, D. (2013). An overview of artificial intelligence. SBIT Journal of Sciences and Technology, 2(1), 1-4.
Spink, A., & Cole, C. (2007). Information behavior: A socio-cognitive ability. Evolutionary Psychology, 5(2), 257-274.
Stallman, M. R. (2009). Viewpoint Why “Open Source” Misses the Point of Free Software: Decoding the important differences in terminology, underlying philosophy, and value systems between two similar categories of software. Communications of the ACM, 52(6). https://courses.cs.duke.edu/common/compsci092/papers/open/stallman-open-free.pdf
STM. (2021). AI ethics in scholarly communication: STM best practice principles for ethical, trustworthy and human-centric AI. [PDF]. https://www.stm-assoc.org/2021_05_11_STM_AI_White_Paper_April2021.pdf
Suleyman, M., & Bhaskar, M. (2023). The coming wave: Technology, power, and the 21st century greatest dilemma. New York: Crown Publishing Group. https://pdfget.com/please-wait-for-few-moments-6/
Ten, A., Kaushik, P., Oudeyer, P. Y., & Gottlieb, J. (2021). Humans monitor learning progress in curiosity-driven exploration. Nature Communications, 12, 5972 https://doi.org/10.1038/s41467-021-26196-w
Unesco (2021). Unesco Science Report: The race against time for smarter development. S. Schneegans, T. Straza and J. Lewis (eds). UNESCO Publishing: Paris. https://www.unesco.org/reports/science/2021/en/statistics
Vainio, N., & Vadén, T. (2007). Free software philosophy and open source. In St.Amant, K. & Still, B. (eds.) Handbook of research on open source software: Technological, economic, and social perspectives. DOI: 10.4018/978-1-59140-999-1.ch001
van’t Land, H., Corcoran, A., & Iancu, D. C. (2021). Introduction. In H. van’t Land et al., (eds.) The promise of higher education: Essays in honour of 70 years of IAU. Springer Nature: Switzerland. https://doi.org/10.1007/978-3-030-67245-4
Vicente, L., & Matute, H. (2023). Humans inherit artificial intelligence biases. Scientific Reports, 13, 15737. https://doi.org/10.1038/s41598-023-42384-8
von der Pfordten, D. (2012). Five elements of normative ethics - A general theory of normative individualism. Ethic Theory Moral Prac, 15, 449–471. DOI 10.1007/s10677-011-9299-2
Weld, D. S., Mausam, & Dai, P. (n.d). Human intelligence needs artificial intelligence. [PDF]. https://homes.cs.washington.edu/~mausam/papers/hcomp11a.pdf
Willinsky, J. (2018). The intellectual properties of learning: A prehistory from Saint Jerome to John Locke. Chicago: University of Chicago Press. https://intellectualproperties.stanford.edu/sites/g/files/sbiybj24701/files/media/file/7._medieval_university_0.pdf
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2024 Revista Internacional de Filosofía Teórica y Práctica
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
Los artículos se publican bajo los términos de una licencia que permite el uso, distribución y reproducción en cualquier medio, siempre que el trabajo original se cite correctamente. Ed&TIC conserva los derechos patrimoniales de las obras publicadas y promueve activamente la reutilización de las mismas bajo los términos de la licencia mencionada anteriormente, lo que fomenta la difusión del conocimiento y la colaboración en la comunidad académica.
