Beyond the “Death of Research”: Reimagining the Human-AI Collaboration in Scientific Research

Abstract

The prevailing narrative of AI rendering research obsolete overlooks its immense potential as a collaborative tool with the capacity to revolutionize scientific exploration. This paper critically examines the relationship between AI and human intelligence, advocating for a synergistic approach that harnesses the unique strengths of both. By weaving AI’s computational prowess with human creativity, ethical reasoning, and contextual understanding, we can unlock unprecedented avenues for discovery and innovation across diverse research fields. This paper delves into the intricate interplay between AI and human intelligence, meticulously examining their strengths, limitations, and potential for collaborative synergy. It underscores the critical role of human judgment in ensuring ethical and responsible research practices, emphasizing the need for a robust philosophical and ethical framework to guide the integration of AI. Instead of succumbing to the fear of the “death of research,” this paper presents a compelling vision of a future with AI as a powerful tool to augment human capabilities. This symbiotic partnership fosters revolutionary breakthroughs while preserving the human essence of research. By embracing this collaborative model, we pave the way for a new era of scientific discovery not by the demise of research but by unprecedented innovation, ethical progress, and a deeper understanding of the world around us.

Author Biographies

Mohammed Salah, Modern College of Business and Science (MCBS), Muscat, Oman

Mohammed Salah is an Assistant Professor at the Modern College of Business and Science (MCBS) in Oman. His research primarily encompasses social psychology, public administration, and artificial intelligence. Currently, he is delving into understanding how artificial intelligence, specifically generative AI, influences decision-making processes.

Fadi Abdelfattah, Modern College of Business and Science (MCBS), Muscat, Oman

Fadi Abdelfattah is an Associate Professor at the Modern College of Business and Science (MCBS) in Oman. His research interests include consumer behavior, service quality, knowledge-sharing, and healthcare management.

Hussam Al Halbusi, Ahmed Bin Mohammed Military College (ABMMC), Doha, Qatar

Hussam Al Halbusi is currently a visiting assistant professor at the management department of Ahmed Bin Mohammed Military College (ABMMC), Qatar. His research interests lie in strategic management, leadership, innovation, and sustainability.

Muna Mohammed, Modern College of Business and Science (MCBS), Muscat, Oman

Muna Mohammed is an Assistant Professor at the Modern College of Business and Science (MCBS) in Oman. Her research mainly focuses on information technology management and its integration into the business and government process. She is also interested in the questions of leadership and artificial intelligence.

References


  • Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial intelligence: The ambiguous labor market impact of automating prediction. Journal of Economic Perspectives, 33(2), 31–50. https://doi.org/10.1257/jep.33.2.31

  • Ahmad, K., Maabreh, M., Ghaly, M., Khan, K., Qadir, J., & Al-Fuqaha, A. (2022). Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges. Computer Science Review, 43, Article 100452. https://doi.org/10.1016/j.cosrev.2021.100452

  • Alam, A. (2022). Employing adaptive learning and intelligent tutoring robots for virtual classrooms and smart campuses: Reforming education in the age of artificial intelligence. In R. N. Shaw, S. Das, V. Piuri, & M. Bianchini (Eds.), Advanced Computing and Intelligent Technologies: Proceedings of ICACIT 2022 (pp. 395–406). Springer. https://doi.org/10.1007/978-981-19-2980-9_32

  • Bang, J., Kim, S., Nam, J. W., & Yang, D.-G. (2021). Ethical chatbot design for reducing negative effects of biased data and unethical conversations. In Proceedings of the International Conference on Platform Technology and Service (PlatCon), August 23–25, 2021, Jeju, Republic of Korea. IEEE. https://doi.org/10.1109/PlatCon53246.2021.9680760

  • Boisvert, H. J. (2015). Re-becoming human: Restoring critical feeling through ludic performance [PhD dissertation, Rensselaer Polytechnic Institute]. DSpace@RPI. https://hdl.handle.net/20.500.13015/1549

  • Brynjolfsson, E., & McAfee, A. (2017, July 18). The business of Artificial Intelligence: What it can–and cannot–do for your organization. Harvard Business Review. https://hbr.org/2017/07/the-business-of-artificial-intelligence

  • Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlström, P., Henke, N., & Trench, M. (2017). Artificial intelligence: The next digital frontier? [Discussion paper]. McKinsey & Co.

  • Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial intelligence and the “good society”: the US, EU, and UK approach. Science and Engineering Ethics, 24, 505–528. https://doi.org/10.1007/s11948-017-9901-7

  • Chomsky, N., Roberts, I., & Watumull, J. (2023, March 8). Noam Chomsky: The false promise of ChatGPT. The New York Times. https://www.nytimes.com/2023/03/08/opinion/noam-chomsky-chatgpt-ai.html

  • Clifton, J., Glasmeier, A., & Gray, M. (2020). When machines think for us: The consequences for work and place [Editorial]. Cambridge Journal of Regions, Economy and Society, 13(1), 3–23. https://doi.org/10.1093/cjres/rsaa004

  • Craig, C., & Kerr, I. (2019, March 25). The death of the AI author. SSRN. https://doi.org/10.2139/ssrn.3374951

  • Dwivedi, R., Dave, D., Naik, H., Singhal, S., Omer, R., Patel, P., Qian, B., Wen, Z., Shah, T., Morgan, G., & Ranjan, R. (2023). Explainable AI (XAI): Core ideas, techniques, and solutions. ACM Computing Surveys, 55(9), Article 194. https://doi.org/10.1145/3561048

  • Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, Article 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

  • Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose,I., Brookst, L., Buhalis, D., … Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy [Editorial opinion paper]. International Journal of Information Management, 71, Article 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

  • Euchner, J. (2019). Little ai, big AI—good AI, bad AI [Editorial]. Research-Technology Management, 62(3), 10–12. https://doi.org/10.1080/08956308.2019.1587280

  • Frank, M., Roehrig, P., & Pring, B. (2017). What to do when machines do everything: How to get ahead in a world of AI, algorithms, bots, and big data. John Wiley & Sons.

  • Füller, J., Hutter, K., Wahl, J., Bilgram, V., & Tekic, Z. (2022). How AI revolutionizes innovation management—Perceptions and implementation preferences of AI-based innovators. Technological Forecasting and Social Change, 178, Article 121598. https://doi.org/10.1016/j.techfore.2022.121598

  • Grudin, J. (2022). From tool to partner: The evolution of human-computer interaction. In Extended abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (Article C15). Association for Computing Machinery. https://doi.org/10.1145/3170427.3170663

  • Hayles, N. K. (2012). How we think: Digital media and contemporary technogenesis. University of Chicago Press.

  • Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.007

  • Khogali, H. O., & Mekid, S. (2023). The blended future of automation and AI: Examining some long-term societal and ethical impact features. Technology in Society, 73, Article 102232. https://doi.org/10.1016/j.techsoc.2023.102232

  • Lee, J.-A., Hilty, R., & Liu, K.-C. (Eds.). (2021). Artificial intelligence and intellectual property. Oxford University Press.

  • Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46–60. https://doi.org/10.1016/j.futures.2017.03.006

  • McQuillan, D. (2022). Resisting AI: An anti-fascist approach to artificial intelligence. Bristol University Press.

  • Nashwan, A. J., & Abujaber, A. A. (2023). Harnessing large language models in nursing care planning: Opportunities, challenges, and ethical considerations [Editorial]. Cureus, 15(6), Article e40542. https://doi.org/10.7759/cureus.40542

  • Natale, S. (2021). Deceitful media: Artificial intelligence and social life after the Turing test. Oxford University Press. https://doi.org/10.1093/oso/9780190080365.001.0001

  • Nikolic, S., Daniel, S., Haque, R., Belkina, M., Hassan, G. M., Grundy, S., Lyden, S., Neal, P., & Sandison, C. (2023). ChatGPT versus engineering education assessment: A multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity. European Journal of Engineering Education, 48(4), 559–614. https://doi.org/10.1080/03043797.2023.2213169

  • Ozmen Garibay, O., Winslow, B., Andolina, S., Antona,M., Bodenschatz, A., Coursaris, C., Falco, G., Fiore,S. M., Garibay, I., Grieman, K., Havens, J. C., Jirotka, M., Kacorri, H., Karwowski, W., Kider, J., Konstan, J., Koon, S., Lopez-Gonzalez, M., Maifeld-Carucci, I., … Xu, W. (2023). Six human-centered artificial intelligence grand challenges. International Journal of Human–Computer Interaction, 39(3), 391–437. https://doi.org/10.1080/10447318.2022.2153320

  • Perrotta, C., & Selwyn, N. (2020). Deep learning goes to school: Toward a relational understanding of AI in education. Learning, Media and Technology, 45(3), 251–269. https://doi.org/10.1080/17439884.2020.1686017

  • Ram, B., & Verma, P. (2023). Artificial intelligence AI-based Chatbot study of ChatGPT, Google AI Bard and Baidu AI. World Journal of Advanced Engineering Technology and Sciences, 8(1), 258–261. https://doi.org/10.30574/wjaets.2023.8.1.0045

  • Salah, M., Abdelfattah., F., & Al Halbusi, H. (2023). Generative Artificial Intelligence (ChatGPT & Bard) in public administration research: A double-edged sword for streetlevel bureaucracy studies. International Journal of Public Administration. Advance online publication. https://doi.org/10.1080/01900692.2023.2274801

  • Salah, M., Al Halbusi, H., & Abdelfattah, F. (2023). May the force of text data analysis be with you: Unleashing the power of generative AI for social psychology research. Computers in Human Behavior: Artificial Humans, 1(2), Article 100006. https://doi.org/10.1016/j.chbah.2023.100006

  • Salah, M., Alhalbusi, H., Ismail, M. M., & Abdelfattah, F. (2023). Chatting with ChatGPT: Decoding the mind of chatbot users and unveiling the intricate connections between user perception, trust and stereotype perception on self-esteem and psychological well-being. Current Psychology. Advance online publication. https://doi.org/10.1007/s12144-023-04989-0

  • Santiago, T. M. (2019). AI bias: How does AI influence the executive function of business leaders? Muma Business Review, 3(16), 181–192. https://doi.org/10.28945/4380

Published
2023-12-27
How to Cite
Salah, M., Abdelfattah, F., Al Halbusi, H., & Mohammed, M. (2023). Beyond the “Death of Research”: Reimagining the Human-AI Collaboration in Scientific Research. Changing Societies & Personalities, 7(4), 31–46. doi:10.15826/csp.2023.7.4.250
Section
Articles