AI-Based World Immersed in Scholarly Communications: Paradigmatic and Theoretical Perspectives
DOI:
https://doi.org/10.17821/srels/2024/v61i6/171638Keywords:
AI, Academic Research, Digital Technologies, Scholarly CommunicationAbstract
This paper explores AI’s role in scholarly communication from different perspectives. It begins by examining how universities contributed to the development of AI and integrated it into teaching, learning, and research. As the digital economy grows, AI is influencing many aspects of human life. Different countries and funding agencies use various approaches that affect how research grants are allocated globally. AI’s use in scholarly writing is changing traditional communication methods. Although little research exists on the impact of AI-generated writing on metrics like the h-index, this paper discusses several issues from different perspectives. It aims to provide insights to AI researchers to improve the technology for better outcomes.
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Bhatnagar, S., Alexandrova, A., Avin, S., Cave, S., Cheke, L., Crosby, M., Feyereisl, J., Halina, M., Loe, B. S., hEigeartaigh, S. O., Martnez-Plumed, F., Price, H., Shevlin, H., Weller, A., Winfield, A., & Hernandez-Orallo, J. (2018). Mapping intelligence: Requirements and possibilities. In Muller, V. C., ed., Philosophy and theory of artificial intelligence 2017. Berlin: Springer, 117– 135.
Bölek, B., Tutal, O., & Özbaşaran, H. (2023a). A systematic review on artificial intelligence applications in architecture. Journal of Design for Resilience in Architecture and Planning, 4(1), 91-104. https://doi.org/10.47818/DRArch.2023.v4i1085
Bölek, B., Altin, M. A., & Özbaşaran, H. (2023b). Interior design with metaheuristics: A prototype application [Conference paper]. XVII Mimarlıkta Sayısal Tasarım Ulusal Sempozyumu, Istanbul.
Boothe, K.(2023). H-indexandAI-generatedwriting. ResearchGate. https://doi.org/10.13140/RG.2.2.30888.65288/1
Boulton, G., & Lucas, C. (2011). What are universities for? Chinese Science Bulletin, 1-19. https://doi.org/10.1007/ s11434-011-4608-7
Chubb, J., & Watermeyer, R. (2017). Artifice or integrity in the marketization of research impact? Investigating the moral economy of (pathways to) impact statements within research funding proposals in the UK and Australia. Studies in Higher Education, 42(12), 2360-2372. https://doi.org/10.1080/03075079.2016.1144182
Chubb, J., Cowling, P., & Reed, D. (2022). Speeding up to keep up: Exploring the use of AI in the research process. AI and Society, 37, 1439-1457. https://doi.org/10.1007/s00146021-01259-0
Clegg, S. (2008). Academic identities under threat? British Educational Research Journal, 34(3), 329-345. https://doi.org/10.1080/01411920701532269
Cyranoki, D. (2019). Artificial intelligence is selecting grant reviewers in China. Nature. https://www.nature.com/articles/d41586-019-01517-8
Delipetrev, B., Tsinarakii, C., & Kostić, U. (2020). Historical evolution of artificial intelligence. Publications Office of the European Union. https://doi.org/10.2760/801580
Dubey, G., Hassan, M., & Alam, A. (2022). Artificial Intelligence (AI) and Indian education system: Promising applications, potential effectiveness, and challenges. Journal of Higher Education, 14(2), 259-269. https://doi.org/10.37867/TE140223
Einarsson, H., Lund, S. H., & Jónsdóttir, A. H. (2024). Application of ChatGPT for automated problem reframing across academic domains. Computers and Education: Artificial Intelligence, 6, 1-15. https://doi.org/10.1016/j.caeai.2023.100194
Frey, C.B., & Osborne, M.A. (2013). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114(1). https://doi.org/10.1016/j.techfore.2016.08.019
Gasser, U., & Almeida, V. A. (2017). A layered model for AI governance. IEEE Internet Computing, 21(6), 58-62
Gibbons, M., Limoges, C., Nowotny, H., Schwartzman, S., Scott, P., & Trow, M. (1994). The new production of knowledge. The dynamics of science and research in contemporary societies. London: Sage.
Gürsakal, N., Çelik, S., & Batmaz, B. (2022). Problems and opportunities of artificial intelligence. Journal of Academic Approaches, 13(1), 203-225. https://doi.org/10.54688/ayd.1104830
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 1-10. https://doi.org/10.1177/0008125619864925
Hukkinen, J. (2017). Peer review has its shortcomings, but AI is a risky fix. Wired. https://www.wired.com/2017/01/peerreviewshortcomingsai-risky-fx/
Kaplan, A., & Haenlein, M. (2018). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62, 15-25. https://doi.org/10.1016/j.bushor.2018.08.004
Kaplan, A., & Haenlein, M. (2019). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63, 37-50. https://doi.org/10.1016/j.bushor.2019.09.003
Khalifa, M., & Albadawy, M. (2024). Using artificial intelligence in academic writing and research: An essential productivity tool. Computer Methods and Programs in Biomedicine Update, 5, 1-11. https://doi.org/10.1016/j.cmpbup.2024.100145
Krzanowski, R., & Polak, P. (2022). Ontology and AI paradigms. Proceedings, 81, 1-4. https://doi.org/10.3390/proceedings2022081119
Krzanowski, R., & Polak, P. (2023). The meta-ontology of AI systems with human-level intelligence. Artificial Intelligence Journal.
Ma, Y., & Siau, K. (2019). Higher education in the AI age. Proceedings of the Twenty-fifth Americas Conference on Information Systems. Cancun.
Mijwil, M. M., Abttan, R. A., & Alkhazraji, A. (2022). Artificial intelligence for COVID-19: A short article. Asian Journal of Pharmacy, Nursing and Medical Sciences, 10(1), 1-6. https://doi.org/10.24203/ajpnms.v10i1.6961
Minsky, M., & Papert, S. A. (1969). Perceptrons: An introduction to computational geometry. MIT press
Monika, M., Divyavarsini, V., & Suganthan, C. (2023). A survey on analyzing the effectiveness of AI tools among research scholars in academic writing and publishing. International Journal of Advance Research and Innovative Ideas in Education, 9(6), 1293-1305. https://doi.org/10.376198760
Musa, A. I. (2018). Cultural and communication barriers to interdisciplinary research: Implication for global health information programs - Philosophical, disciplinary epistemological, and methodological discourses. In M. N.
Al-Suqri, A. K. Al-Kindi, S. S. AlKindi, & N. E. Saleem (Eds.), Promoting interdisciplinarity in knowledge generation and problem-solving (pp. 151-174). IGI Global. https://doi.org/10.4018/978-1-5225-3878-3.ch011
Newell, A. (1990). Unified Theories of Cognition. Cambridge, Massachusetts: Harvard University Press
Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 1, 1-6. https://doi.org/10.1016/j.caeai.2021.100020
Rosenfield, P. L. (1992). The potential of transdisciplinary research for sustaining and extending linkages between the health and social sciences. Social Science & Medicine, 35(11), 1343–1357. DOI:10.1016/02779536(92)90038-R PMID:1462174
Sasaki, M. (2023). AI tools as affordances and contradictions for EFL writers: Emic perspectives and L1 use as a resource. Journal of Second Language Writing, 62, 101068. https://doi.org/10.1016/j.jslw.2023.101068
Siau, K. (2019). How can AI help to enhance diversity and inclusion? Proceedings of the Twenty-fifth Americas Conference on Information Systems. Cancun.
Stokols, D., Harvey, R., Gress, J., Fuqua, J., & Phillips, K. (2005). In Vivo studies of transdisciplinary scientific collaboration: Lessons learned and implications for active living research. American Journal of Preventive Medicine, 28(2S2), 202-13
Tahira, A. (2022). Search for a new paradigm in the educational system in the era of artificial intelligence and digital technologies: Challenges, opportunities. Actual Problems in the System of Education General Secondary Education Institution - Pre-University Training - Higher Education Institution, 179-190. https://doi.org/10.18372/2786-5487.1.16597
Tuomi, I. (2018). The impact of artificial intelligence on learning, teaching, and education. In M. Cabrera, R. Vuorikari, & Y. Punie (Eds.), Policies for the future (EUR 29442 EN). Publications Office of the European Union. https://doi.org/10.2760/12297
UKRI. (2020). Corporate plan, 2020-21. https://www.ukri.org/wp-content/uploads/2020/10/UKRI-091020-CorporatePlan2020-21.pdf
UKRI. (2021). Transforming our world with AI. https://www.ukri.org/wp-content/uploads/2021/02/UKRI-120221-TransformingOurWorldWithAI.pdf
Wang, P. (2008). What do you mean by “AI”? Frontiers in Artificial Intelligence and Applications. https://www.researchgate.net/publication/262357941
Wang, P. (2010). The evaluation of AGI systems. Proceedings of AGI 2010 Conference. https://doi.org/10.2991/agi.2010.33
Wang, P. (2012). Theories of artificial intelligence: Metatheoretical considerations. Proceedings of the 5th AGI Conference, 88-96. https://doi.org/10.2991/978-94-91216-62-6_16
Wang, P. (2019). On defining artificial intelligence. Journal of Artificial General Intelligence, 10(2), 1-37. https://doi.org/10.2478/jagi-2019-0002
Wang, W., & Siau, K. (2018). Artificial intelligence: A study on governance, policies, and regulations. MWAIS 2018 Proceedings, 40. http://aisel.aisnet.org/mwais2018/40
Wang, M., Sushil, M., Miao, B. Y., & Butte, A. J. (2023). Bottom-up and top-down paradigms of artificial intelligence research approach to healthcare data science using growing real world big data. Journal of the American Medical Informatics Association, 30(7), 1323-1332. https://doi.org/10.1093/jamia/ocad085
Xu, Y., Liu, X., Cao, X., Huang, C., Liu, E., Qian, S., … Zhang, J. (2021). Artificial intelligence: A powerful paradigm for scientific research. The Innovation, 2, 708-727. https://doi.org/10.1016/j.xinn.2021.100179
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