The Ethics of AI Creativity: Emerging Challenges

Authors

  • Iman Osman Mukhtar Ahmed Department of Electrical and Computer Engineering, International Islamic University Malaysia, MALAYSIA
  • Aisha Hassan Abdalla Hashim Department of Electrical and Computer Engineering, International Islamic University Malaysia, MALAYSIA
  • Zeinab E. Ahmed Department of Electrical and Computer Engineering, International Islamic University Malaysia, MALAYSIA
  • Ali Sophian Mechatronics Engineering Department, International Islamic University Malaysia, MALAYSIA

DOI:

https://doi.org/10.53797/jthkkss.v5i1.3.2024

Keywords:

Artificial intelligence (AI), Large Language Models (LLM), Challenges, Ethical

Abstract

The utilization of Artificial Intelligence (AI) in educational institutions has the potential to bring about a significant transformation in current educational systems. As more educational establishments incorporate AI tools into their teaching and learning practices, there is a growing adoption of Large Language Model (LLM) technologies, including within the field of education. This adoption is driven by the ever-increasing volume of data and evolving educational requirements. However, despite the advantages offered by these technologies, there remains a consistent lack of clarity surrounding the ethical guidelines, technical standards, and best practices that are vital for their effective implementation. This paper primarily focuses on two key areas of research. Firstly, it seeks to investigate the potential benefits, risks, and outcomes associated with the use of LLM technologies in education. Secondly, it delves into the ethical considerations that should guide the utilization of LLM technologies within this domain. The findings underscore the significance of affording students access to LLM technologies in order to enhance the learning environment, with an emphasis on the necessity of transparent and reliable data collection in research. Moreover, given the considerable potential for the dissemination of misinformation and harmful content through LLM technologies, it is imperative to integrate ethical considerations throughout the field of education. This necessitates educating users and reinforcing measures to control the content in order to mitigate associated risks.

Downloads

Download data is not yet available.

Author Biography

Zeinab E. Ahmed, Department of Electrical and Computer Engineering, International Islamic University Malaysia, MALAYSIA

Department of Computer Engineering, University of Gezira, SUDAN

References

Ahmad, N., Murugesan, S., & Kshetri, N. (2023). Generative Artificial Intelligence and the Education Sector. Computer, 56(6), 72-76.

Ausat, A. M. A., Massang, B., Efendi, M., Nofirman, N., & Riady, Y. (2023). Can chat GPT replace the role of the teacher in the classroom: A fundamental analysis. Journal on Education, 5(4), 16100-16106.

Bonsu, E. M., & Baffour-Koduah, D. (2023). From the consumers’ side: Determining students’ perception and intention to use ChatGPT in Ghanaian higher education. Journal of Education, Society & Multiculturalism, 4(1), 1-29.

Creely, E. (2023). Conceiving creativity and learning in a world of artificial intelligence: A thinking model. In Creative provocations: Speculations on the future of creativity, technology & learning (pp. 35-50). Cham: Springer International Publishing.

Chen, T. J. (2023). ChatGPT and other artificial intelligence applications speed up scientific writing. Journal of the Chinese Medical Association, 86(4), 351-353.

Cope, B., Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229-1245.

Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 1-12.

Crawford, J., Cowling, M., Ashton-Hay, S., Kelder, J. A., Middleton, R., & Wilson, G. S. (2023). Artificial Intelligence and Authorship Editor Policy: ChatGPT, Bard Bing AI, and beyond. Journal of University Teaching & Learning Practice, 20(5), 1.

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & 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. International Journal of Information Management, 71, 102642.

Flanagin, A., Bibbins-Domingo, K., Berkwits, M., & Christiansen, S. L. (2023). Nonhuman “authors” and implications for the integrity of scientific publication and medical knowledge. Jama, 329(8), 637-639.

Gillotte, J. L. (2019). Copyright infringement in ai-generated artworks. UC Davis L. Rev., 53, 2655.

Gokul, A. (2023). LLMs and AI: Understanding Its Reach and Impact

Gordijn, B., & Have, H. T. (2023). ChatGPT: evolution or revolution?. Medicine, Health Care and Philosophy, 26(1), 1-2.

Heaven, W. D. Why meta’s latest large language model survived only three days online, 2022. URL: https://www. technologyreview. com/2022/11/18/1063487/meta-large-language-model-ai-onlysurvived-three-days-gpt-3-science.

Holmes, W., Persson, J., Chounta, I. A., Wasson, B., & Dimitrova, V. (2022). Artificial intelligence and education: A critical view through the lens of human rights, democracy and the rule of law. Council of Europe.

Hosseini, M., Rasmussen, L. M., & Resnik, D. B. (2023). Using AI to write scholarly publications. Accountability in research, 1-9.

Hu, G. (2023). Challenges for enforcing editorial policies on AI-generated papers. Accountability in Research, 1-3.

Huang, J., & Tan, M. (2023). The role of ChatGPT in scientific communication: writing better scientific review articles. American Journal of Cancer Research, 13(4), 1148.

Hutson, M. (2022). Could AI help you to write your next paper?. Nature, 611(7934), 192-193.

Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature machine intelligence, 1(9), 389-399.

Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 103, 102274.

Khalil, M., & Er, E. (2023). Will ChatGPT get you caught? Rethinking of plagiarism detection. arXiv preprint arXiv:2302.04335.

Khan, N. A., Osmonaliev, K., & Sarwar, M. Z. (2023). Pushing the Boundaries of Scientific Research with the use of Artificial Intelligence tools: Navigating Risks and Unleashing Possibilities. Nepal Journal of Epidemiology, 13(1), 1258.

King, M. R., & ChatGPT. (2023). A conversation on artificial intelligence, chatbots, and plagiarism in higher education. Cellular and Molecular Bioengineering, 16(1), 1-2.

Kurian, N., Cherian, J. M., Sudharson, N. A., Varghese, K. G., & Wadhwa, S. (2023). AI is now everywhere. British Dental Journal, 234(2), 72-72.

Lee, J. Y. (2023). Can an artificial intelligence chatbot be the author of a scholarly article?. Journal of Educational Evaluation for Health Professions, 20.

Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410.

Meta Fundamental AI Research Diplomacy Team (FAIR)†, Bakhtin, A., Brown, N., Dinan, E., Farina, G., Flaherty, C., ... & Zijlstra, M. (2022). Human-level play in the game of Diplomacy by combining language models with strategic reasoning. Science, 378(6624), 1067-1074.

Pavlik, J. V. (2023). Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism & Mass Communication Educator, 78(1), 84-93

Peres, R., Schreier, M., Schweidel, D., & Sorescu, A. (2023). On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice. International Journal of Research in Marketing.

Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), 5783.

Rahman, M.,Terano, HJR, Rahman, N., Salamzadeh, A., Rahaman, S.(2023). ChatGPT and Academic Research: A Review and Recommendations Based on Practical Examples. Journal of Education, Management and Development Studies, 3(1), 1-12.

Rainie, L., Anderson, J., & Vogels, E. A. (2021). Experts doubt ethical AI design will be broadly adopted as the norm within the next decade. Pew Research Center, 16.

Reed, L. (2022). ChatGPT for Automated Testing: From conversation to code. Sauce Labs.

Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?. Journal of Applied Learning and Teaching, 6(1).

Shah, C., & Bender, E. M. (2022, March). Situating search. In Proceedings of the 2022 Conference on Human Information Interaction and Retrieval (pp. 221-232).

Stokel-Walker, C. (2022). AI bot ChatGPT writes smart essays-should academics worry?. Nature.

Tang, Y., & Wang, W. (2018). A literature review of personalized learning algorithm. Open Journal of Social Sciences, 6(1), 119-127.

Teubner, T., Flath, C. M., Weinhardt, C., van der Aalst, W., & Hinz, O. (2023). Welcome to the era of chatgpt et al. the prospects of large language models. Business & Information Systems Engineering, 65(2), 95-101.

Thorp, H. H. (2023). ChatGPT is fun, but not an author. Science, 379(6630), 313-313.

Tung, L. (2023). ChatGPT can write code. Now researchers say it’s good at fixing bugs, too. ZDNet.

Vinchon, F., Lubart, T., Bartolotta, S., Gironnay, V., Botella, M., Bourgeois-Bougrine, S., ... & Gaggioli, A. (2023). Artificial Intelligence & Creativity: A manifesto for collaboration. The Journal of Creative Behavior.

Watkins, R. (2023). Guidance for researchers and peer-reviewers on the ethical use of Large Language Models (LLMs) in scientific research workflows. AI and Ethics, 1-6.

Williamson, B., Macgilchrist, F., & Potter, J. (2023). Re-examining AI, automation and datafication in education. Learning, Media and Technology, 48(1), 1-5.

Yeo-Teh, N. S. L., & Tang, B. L. (2023). Letter to Editor: NLP systems such as ChatGPT cannot be listed as an author because these cannot fulfill widely adopted authorship criteria. Accountability in research, 1-3.

Zhai, X. (2022). ChatGPT user experience: Implications for education. Available at SSRN 4312418.

Downloads

Published

2024-07-06

How to Cite

Ahmed, I. O. M., Hashim, A. H. A., Ahmed, Z. E., & Sophian, A. (2024). The Ethics of AI Creativity: Emerging Challenges. Journal of Technology and Humanities, 5(1), 24-31. https://doi.org/10.53797/jthkkss.v5i1.3.2024