ARTIFICIAL INTELLIGENCE AS AN INNOVATIVE TOOL FOR SOCIAL CHANGE: CHALLENGES, PROSPECTS, RISKS AND SOCIAL CONSEQUENCES
DOI:
https://doi.org/10.62405/osi.2025.01.05Keywords:
artificial intelligence; intelligent computer systems; cyberspace; intelligent algorithms; ChatGPT; cybersecurityAbstract
The article reviews and analyses the areas of research in the field of artificial intelligence. The article identifies relevant aspects of limitations and prospects for improvement, as well as current challenges to the implementation of this technology in various industries. It is emphasised that the introduction of this technology can cause transformations in the organisational structures of various spheres of society. It is emphasised that the use of artificial intelligence can be an effective tool for improving the well-being of society, and the possible threats and risks associated with its use are also indicated. The features of the organisation of artificial intelligence systems, in particular, the architecture, principles of functioning, algorithms and decision-making models, are considered on the example of ChatGPT. Unevenness in the practical implementation of this technology is
revealed. It is pointed out that there is no unified standard for the implementation of artificial intelligence systems in various spheres of public life. The article provides suggestions for further research on the implementation of artificial intelligence systems.
References
Bang, Y., Cahyawijaya, S., Lee, N., Dai, W., Su, D., Wilie, B., Lovenia, H., Ji, Z., Yu, T., Chung, W., et al. (2023). A multitask, multilingual, multimodal evaluation of ChatGPT on reasoning, hallucination, and interactivity. Future Internet, 15(1), 192-203. https://doi.org/10.48550/arXiv.2302.04023
Brennan, R. W., & Lesage, J. (2023). Exploring the implications of OpenAI Codex on education for Industry 4.0. In A. Author & B. Author (Eds.), Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future (pp. 254-266). Springer International Publishing.
Brown, T. B., Mann, B., & Ryder, N. (2020). Language Models are Few-Shot Learners. arXiv preprint arXiv:2005.14165. https://arxiv.org/abs/2005.14165 http://dx.doi.org/10.1007/s12564-015-9374-9
Brownlee, J. (2021). How to Develop a GPT-2 Text Generator in Python. Machine Learning Mastery. https://machinelearningmastery.com/how-to-develop-a-generative-model-for-text-generation-in-python/ ( дата звернення: 02.04.2025)
Castellanos-Gomez, A. (2023). Good practices for scientific article writing with ChatGPT and other artificial intelligence language models. Nanomanufacturing, 3(1), 135-138. https://doi.org/10.3390/nanomanufacturing3020009
Chen, M., Tworek, J., Jun, H., Yuan, Q., de Oliveira Pinto, H. P., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., & et al.** (2021). Evaluating large language models trained on code. arXiv preprint arXiv:2107.03374. https://arxiv.org/abs/2107.03374 doi.org/10.48550/arXiv.2107.03374
Corsello, A., & Santangelo, A. (2023). May Artificial Intelligence Influence Future Pediatric Research?—The Case of ChatGPT. Children, 10(5), 757. https://doi.org/10.3390/children10040757
Dahmen, J., Kayaalp, M. E., Ollivier, M., Pareek, A., Hirschmann, M. T., Karlsson, J., & Winkler, P. W. (2023). Artificial Intelligence Bot ChatGPT in medical research: The potential game changer as a double-edged sword. Knee Surgery, Sports Traumatology, Arthroscopy, 31, 1187–1189. https://doi.org/10.1007/s00167-023-07355-6
Delo.ua. (2023, грудень 20). Декларація Блетчлі зі ШІ: Як Україні скористатися глобальними трендами. Delo.ua. https://delo.ua/telecom/deklaraciya-bletcli-z-si-yak-ukrayini-skoristatisya-globalnimi-trendami-426749/#:~:text= ( дата звернення: 02.04.2025)
Dowling, M., & Lucey, B. (2023). ChatGPT for (Finance) Research: The Bananarama conjecture. Financial Research Letters, 53, 103662.
Geerling, W., Mateer, G. D., Wooten, J., & Damodaran, N. (2023). Is ChatGPT smarter than a student in principles of economics? SSRN Electronic Journal. https://doi:10.2139/ssrn.4356034
Gozalo-Brizuela, R., & Garrido-Merchan, E. C. (2023). CHATGPT is not all you need: A state of the art review of large generative AI models. arXiv. https://doi.org/10.48550/arXiv.2301.04655
Grant, N., & Metz, C. (2022, December 21). A new chat bot is a ‘code red’ for Google’s search business. The New York Times. https://www.nytimes.com/2022/12/21/technology/ai-chatgpt-google-search.html 1
Guo, C., Lu, Y., Dou, Y., & Wang, F.-Y. (2023). Can ChatGPT boost artistic creation: The need of Imaginative Intelligence for parallel art. IEEE/CAA Journal of Automatica Sinica, 10, 835-838.
Hassani, H., & Silva, E. S. (2023). The role of ChatGPT in data science: How AI-assisted conversational interfaces are revolutionizing the field. Big Data and Cognitive Computing, 7(1), 62.
Hirosawa, T., Harada, Y., Yokose, M., Sakamoto, T., Kawamura, R., & Shimizu, T. (2023). Diagnostic accuracy of differential-diagnosis lists generated by Generative Pre-trained Transformer 3 chatbot for clinical vignettes with common chief complaints: A pilot study. International Journal of Environmental Research and Public Health, 20(5), 3378.
History of Data Science. (n.d.). Dartmouth Summer Research Project: The birth of artificial intelligence. Retrieved January 4, 2025, from https://www.historyofdatascience.com/dartmouth-summer-research-project-the-birth-of-artificial-intelligence/
Karwowski, M. (2015). Intelligence and creativity: A complex but important relationship. ResearchGate. https://www.researchgate.net/publication/276166527_Intelligence_and_creativity_A_complex_but_important_relationship http://dx. doi.org/10.1007/s12564-015-9374-9 ( дата звернення: 02.04.2025)
Kovačević, D. (2023). Use of ChatGPT in ESP teaching process. In Proceedings of the 2023 22nd International Symposium INFOTEH[1]JAHORINA (INFOTEH) (pp. 125-132). East Sarajevo, Bosnia and Herzegovina: University of East Sarajevo.
Kumar, H. S. A. (2023). Analysis of ChatGPT tool to assess the potential of its utility for academic writing in biomedical domain. Biological Engineering & Medical Science Reports, 9, 24-30.
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., et al. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digital Health, 2(1), e0000198. https://doi.org/10.1371/journal.pdig.0000198
Mitrović, S., Andreoletti, D., & Ayoub, O. (2023). ChatGPT or human? detect and explain. Explaining decisions of machine learning model for detecting short ChatGPT-generated text. arXiv preprint arXiv:2301.13852.
Moradi, M., Dorffner, G., & Samwald, M. (2020). Deep contextualized embeddings for quantifying the informative content in biomedical text summarization. Computers in Biology and Medicine, 184, 105117.
Nastasi, A. J., Courtright, K. R., Halpern, S. D., & Weissman, G. E. (2023). Does ChatGPT provide appropriate and equitable medical advice? A vignette-based, clinical evaluation across care contexts. medRxiv.
OpenAI. (n.d.). OpenAI Blog. Retrieved April 26, 2023, from https://openai.com/blog/
OpenAI. (2023). Data usage policies. Retrieved April 26, 2023, from https://platform.openai.com/docs/data-usage-policies
OpenAI. (2023). Embeddings. OpenAI Platform Documentation. https://platform.openai.com/docs/guides/embeddings
OpenAI. (2023). Introducing Whisper. https://openai.com/research/whisper
OpenAI API. (2023). Model Index for Researchers. https://platform.openai.com/docs/model-index-for-researchers (accessed 26 April 2023).
OpenAI. (2023). Moderation Model. OpenAI Platform Documentation. https://platform.openai.com/docs/guides/moderation/overview
OpenAI. (n.d.). OpenAI models. Retrieved April 26, 2023, from https://platform.openai.com/docs/models/overview
Qin, C., Zhang, A., Zhang, Z., Chen, J., Yasunaga, M., & Yang, D. (2023). Is ChatGPT a general-purpose natural language processing task solver? arXiv preprint arXiv:2302.06476.
Rivas, P., & Zhao, L. (2023). Marketing with ChatGPT: Navigating the ethical terrain of GPT-based chatbot technology. AI, 4, 375-384.
Sobania, D., Briesch, M., Hanna, C., & Petke, J. (2023). An analysis of the automatic bug fixing performance of ChatGPT. arXiv preprint arXiv:2301.08653.
Rudolph, J., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6.
Rozado, D. (2023). The political biases of ChatGPT. Social Sciences, 12, 148.
Strunga, M., Urban, R., Surovková, J., & Thurzo, A. (2023). Artificial Intelligence Systems Assisting in the Assessment of the Course and Retention of Orthodontic Treatment. Healthcare, 11(4), 683.
Susnjak, T. (2022). ChatGPT: The end of online exam integrity? arXiv preprint arXiv:2212.09292. https://arxiv.org/abs/2212.09292
Thurzo, A., Strunga, M., Urban, R., Surovková, J., & Afrashtehfar, K. I. (2023). Impact of Artificial Intelligence on Dental Education: A Review and Guide for Curriculum Update. Education Sciences, 13, 150.
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.
Vemprala, S., Bonatti, R., Bucker, A., & Kapoor, A. (2023). ChatGPT for Robotics: Design Principles and Model Abilities. Microsoft Autonomous Systems and Robotics Research. Retrieved April 26, 2023, from https://www.microsoft.com/en-us/research/uploads/prod/2023/02/ChatGPT___Robotics.pdf 1
Wahde, M., & Virgolin, M. (2022). Conversational agents: Theory and applications. arXiv preprint arXiv:2202.03164. https://arxiv.org/abs/2202.03164
Wei, J., Bosma, M., Zhao, V. Y., Guu, K., Yu, A. W., Lester, B., Du, N., Dai, A. M., & Le, Q. V. (2022). Finetuned language models are zero-shot learners. arXiv preprint arXiv:2109.01652. https://arxiv.org/abs/2109.01652
World Economic Forum. (2024). World Economic Forum Annual Meeting 2024. World Economic Forum. https://www.weforum.org/meetings/world-economic-forum-annual-meeting-2024/
Zhang, Y., Sun, S., Galley, M., Chen, Y.-C., Brockett, C., Gao, X., Gao, J., Liu, J., & Dolan, B. (2022). DialogPT: Large-scale generative pre-training for conversational response generation. arXiv preprint arXiv:1911.00536. https://arxiv.org/abs/1911.00536
Zhong, Q., Ding, L., Liu, J., Du, B., & Tao, D. (2023). Can ChatGPT understand too? A comparative study on ChatGPT and fine-tuned BERT. arXiv preprint arXiv:2302.10198.
Zhu, Y., Han, D., Chen, S., Zeng, F., & Wang, C. (2023). How can ChatGPT benefit pharmacy: A case report on review writing. Preprints, 2023020324.
Zhuo, T. Y., Huang, Y., Chen, C., & Xing, Z. (2023). Exploring AI ethics of ChatGPT: A diagnostic analysis. arXiv preprint arXiv:2301.12867.
Finance.ua. (н.д.). U SSHA stvoryly pershu derzhavnu shkolu, de vykladatyme shtuchnyy intelekt. https://wrt.sud.ua/uk/news/abroad/320202-v-ssha-poyavilas-gosudarstvennaya-shkola-gde-budet-prepodavat-isklyuchitelno-iskusstvennyy-intellekt
Sotsialʹna krayina. (2023, 15 travnya). AI-zastosunok, shcho daruye holos dityam, yaki ne mozhutʹ hovoryty. https://welfare.green/initiative/ai-zastosunok-shho-darueh-golos-dityam-yaki-ne-mozhut-govoriti/
Sud.ua. (2023). Sud.ua. (2023). Iskusstvennyy intelekt mozhe stvoryty tsyfrovu kopiyu osobystosti lyudyny vsʹoho za 2 hodyny. Retrieved from https://sud.ua/uk/news/abroad/320107-iskusstvennyy-intellekt-mozhet-sozdat-tsifrovuyu-kopiyu-lichnosti-cheloveka-vsego-za-2-chasa
Sotsialna Kraina. (2023, May 15). AI-zastosunok, shcho daruie holos ditiam, yaki ne mozhut hovoryty. https://welfare.green/initiative/ai-zastosunok-shho-darueh-golos-dityam-yaki-ne-mozhut-govoriti/
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