Role and challenges of ChatGPT, Google Bard, and similar generative Artificial Intelligence in Arts and Humanities

https://doi.org/10.48185/she.v5i1.999

Authors

  • Nitin Rane Researcher
  • Saurabh Choudhary 2Architecture, Vivekanand Education Society's College of Architecture, Chembur, Mumbai, India.

Keywords:

ChatGPT, Google Bard, Artificial Intelligence, Generative Artificial Intelligence, Human, Art, Humanities

Abstract

In the dynamic world of technology, ChatGPT has emerged as a transformative tool within the realm of Arts and Humanities, facilitating innovative interactions between humans and machines. This research delves into the multifaceted role of ChatGPT in the Arts and Humanities, illuminating its potential applications and the challenges it presents. ChatGPT serves as a creative collaborator, providing artists and humanists with a distinctive platform for ideation, brainstorming, and refining their artistic expressions. Through natural language conversations, it stimulates creative thinking processes, offering valuable insights and diverse perspectives. In the realm of Humanities, ChatGPT acts as a crucial research assistant, supporting scholars in tasks like data analysis, literature review, and information synthesis. Its ability to process vast textual data expedites research, allowing scholars to delve deeper into their inquiries. However, integrating ChatGPT into the Arts and Humanities domain is not without its challenges. Ethical considerations, such as data privacy and bias, require careful attention. Balancing the augmentation of human creativity with the preservation of genuine artistic expression is a complex task. Additionally, ensuring accessibility and inclusivity in ChatGPT-generated content remains a concern, underscoring the need for continuous refinement and awareness. This research explores the evolving landscape of Arts and Humanities, where ChatGPT acts as a catalyst for creativity, critical thinking, and scholarly endeavors. By addressing these challenges and harnessing its potential, ChatGPT stands poised to bridge the gap between technology and the intricate nuances of human creativity in unprecedented ways.

References

Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries?. Library Hi Tech News, 40(3), 26-29.

Sallam, M. (2023, March). ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. In Healthcare (Vol. 11, No. 6, p. 887). MDPI.

McGee, R. W. (2023). What Will the United States Look Like in 2050? A ChatGPT Short Story. A Chatgpt Short Story (April 8, 2023).

Jeon, J., Lee, S., & Choe, H. (2023). Beyond ChatGPT: A conceptual framework and systematic review of speech-recognition chatbots for language learning. Computers & Education, 104898.

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15.

Rimban, E. L. (2023). Challenges and limitations of ChatGPT and other large language models. International Journal of Arts and Humanities, 4(1), 147-152.

Mansfield-Devine, S. (2023). Weaponising ChatGPT. Network Security, 2023(4).

Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277-304.

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).

Greene, M. (1977). Toward wide-awakeness: An argument for the arts and humanities in education. Teachers College Record, 79(1), 119-125.

Bakhshi, H., Schneider, P., & Walker, C. (2008). Arts and humanities research and innovation.

Moniz, T., Golafshani, M., Gaspar, C. M., Adams, N. E., Haidet, P., Sukhera, J., ... & Lingard, L. (2021). How are the arts and humanities used in medical education? Results of a scoping review. Academic Medicine, 96(8), 1213-1222.

Susnjak, T. (2022). ChatGPT: The end of online exam integrity?. arXiv preprint arXiv:2212.09292.

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).

Liebrenz, M., Schleifer, R., Buadze, A., Bhugra, D., & Smith, A. (2023). Generating scholarly content with ChatGPT: ethical challenges for medical publishing. The Lancet Digital Health, 5(3), e105-e106.

Wang, C., Liu, S., Yang, H., Guo, J., Wu, Y., & Liu, J. (2023). Ethical Considerations of Using ChatGPT in Health Care. Journal of Medical Internet Research, 25, e48009.

Dave, T., Athaluri, S. A., & Singh, S. (2023). ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations. Frontiers in Artificial Intelligence, 6, 1169595.

Tülübaş, T., Demirkol, M., Ozdemir, T. Y., Polat, H., Karakose, T., & Yirci, R. (2023). An interview with ChatGPT on emergency remote teaching: A comparative analysis based on human–AI collaboration. Educational Process: International Journal.

Karakose, T., Demirkol, M., Yirci, R., Polat, H., Ozdemir, T. Y., & Tülübaş, T. (2023). A Conversation with ChatGPT about Digital Leadership and Technology Integration: Comparative Analysis Based on Human–AI Collaboration. Administrative Sciences, 13(7), 157.

Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277-304.

Liebrenz, M., Schleifer, R., Buadze, A., Bhugra, D., & Smith, A. (2023). Generating scholarly content with ChatGPT: ethical challenges for medical publishing. The Lancet Digital Health, 5(3), e105-e106.

Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems.

Aydın, Ö., & Karaarslan, E. (2022). OpenAI ChatGPT generated literature review: Digital twin in healthcare. Available at SSRN 4308687.

Roumeliotis, K. I., & Tselikas, N. D. (2023). ChatGPT and Open-AI Models: A Preliminary Review. Future Internet, 15(6), 192.

Verma, M. (2023). Integration of AI-Based Chatbot (ChatGPT) And Supply Chain Management Solution To Enhance Tracking And Queries Response. International Journal for Science and Advance Research In Technology.

Rane, N. L., Achari, A., Saha, A., Poddar, I., Rane, J., Pande, C. B., & Roy, R. (2023). An integrated GIS, MIF, and TOPSIS approach for appraising electric vehicle charging station suitability zones in Mumbai, India. Sustainable Cities and Society, 104717.

Moharir, K. N., Pande, C. B., Gautam, V. K., Singh, S. K., & Rane, N. L. (2023). Integration of hydrogeological data, GIS and AHP techniques applied to delineate groundwater potential zones in sandstone, limestone and shales rocks of the Damoh district,(MP) central India. Environmental research, 228, 115832.

Van Dis, E. A., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023). ChatGPT: five priorities for research. Nature, 614(7947), 224-226.

Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 00336882231162868.

Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52-62.

Opara, E., Mfon-Ette Theresa, A., & Aduke, T. C. (2023). ChatGPT for teaching, learning and research: Prospects and challenges. Opara Emmanuel Chinonso, Adalikwu Mfon-Ette Theresa, Tolorunleke Caroline Aduke (2023). ChatGPT for Teaching, Learning and Research: Prospects and Challenges. Glob Acad J Humanit Soc Sci, 5.

Zhou, J., Müller, H., Holzinger, A., & Chen, F. (2023). Ethical ChatGPT: Concerns, challenges, and commandments. arXiv preprint arXiv:2305.10646.

Stahl, B. C., & Eke, D. (2024). The ethics of ChatGPT–Exploring the ethical issues of an emerging technology. International Journal of Information Management, 74, 102700.

Haque, M. U., Dharmadasa, I., Sworna, Z. T., Rajapakse, R. N., & Ahmad, H. (2022). " I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data. arXiv preprint arXiv:2212.05856.

Shen, Y., Heacock, L., Elias, J., Hentel, K. D., Reig, B., Shih, G., & Moy, L. (2023). ChatGPT and other large language models are double-edged swords. Radiology, 307(2), e230163.

Jeblick, K., Schachtner, B., Dexl, J., Mittermeier, A., Stüber, A. T., Topalis, J., ... & Ingrisch, M. (2023). ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports. European Radiology, 1-9.

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.

Chan, M. M. K., Wong, I. S. F., Yau, S. Y., & Lam, V. S. F. (2023). Critical Reflection on Using ChatGPT in Student Learning: Benefits or Potential Risks?. Nurse Educator, 10-1097.

Putra, F. W., Rangka, I. B., Aminah, S., & Aditama, M. H. (2023). ChatGPT in the higher education environment: perspectives from the theory of high order thinking skills. Journal of Public Health, fdad120.

Rane, N. L., & Jayaraj, G. K. (2022). Comparison of multi-influence factor, weight of evidence and frequency ratio techniques to evaluate groundwater potential zones of basaltic aquifer systems. Environment, Development and Sustainability, 24(2), 2315-2344. https://doi.org/10.1007/s10668-021-01535-5

Rane, N. L., Anand, A., Deepak K., (2023). Evaluating the Selection Criteria of Formwork System (FS) for RCC Building Construction. International Journal of Engineering Trends and Technology, vol. 71, no. 3, pp. 197-205. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I3P220

Tirado-Olivares, S., Navío-Inglés, M., O’Connor-Jiménez, P., & Cózar-Gutiérrez, R. (2023). From Human to Machine: Investigating the Effectiveness of the Conversational AI ChatGPT in Historical Thinking. Education Sciences, 13(8), 803.

Naumova, E. N. (2023). A mistake-find exercise: a teacher’s tool to engage with information innovations, ChatGPT, and their analogs. Journal of Public Health Policy, 44(2), 173-178.

Rozado, D. (2023). The political biases of chatgpt. Social Sciences, 12(3), 148.

Ferrara, E. (2023). Should chatgpt be biased? challenges and risks of bias in large language models. arXiv preprint arXiv:2304.03738.

Published

2024-02-01

How to Cite

Rane, N., & Choudhary, S. . (2024). Role and challenges of ChatGPT, Google Bard, and similar generative Artificial Intelligence in Arts and Humanities. Studies in Humanities and Education, 5(1), 1–11. https://doi.org/10.48185/she.v5i1.999