Application of generative artificial intelligence in research and practical analytics for public administration: positive opportunities and pitfalls

Igor Ponkin

Abstract


The article is devoted to the study of the role and meaning of the concept and technologies of generative artificial intelligence in relation to the sphere of public administration and functioning of the system of public administration bodies. The article reveals the concept of generative artificial intelligence, including GPT models – transformers, pre-trained to generate texts in natural languages. The author technical and organisational prerequisites, conditions and aspects of the involvement of generative artificial intelligence in public administration and its provision. The article presents a formalised list of positions of involvement of generative artificial intelligence models (including GPT models) in public administration. Proceeding from the attitude that it is necessary to clearly present and understand the advantages and potential advantages (positive potential), as well as disadvantages of such software models, risks, hidden problems (‘pitfalls’) and negative side effects that they may entail, the author addresses these issues. The author outlines a list of positions of possible relevant involvement of generative artificial intelligence software models (including GPT models) in the work of a practitioner-analyst, scientist, expert. The author summarises and explains the problems and ‘pitfalls’ of software models of generative artificial intelligence (including GPT models) in their direct involvement in research, applied analytical and expert support of public administration. The article shows the problem of the current rapid exhaustibility of the potential of performance development of generative artificial intelligence models. The article was prepared within the framework of the work on the research work № 12.26.-2024-2 «Prospects and determinants of the development of digital technologies application in public administration» (Russian Presidential Academy of National Economy and Public Administration (RANEPA)).

Full Text:

PDF (Russian)

References


Vonnegut K. Sirens of Titan. – London: Coronet Books; Hodder & Stoughton, 1982.

Mehta S. How should government agencies use generative AI like ChatGPT? // . – 01.05.2023.

Salvagno M., Taccone F.S., Gerli A.G. Can artificial intelligence help for scientific writing? // Critical Care. – 2023. – Vol. 27. – № 1. – Article № 75. – P. 1–5.

Dwivedi R., Elluri L. Exploring Generative Artificial Intelligence Research: A Bibliometric Analysis Approach // IEEE Access. – 2024. – Vol. 12. – P. 119884–119902.

Agentic AI – the new frontier in GenAI: An executive playbook. – London: PricewaterhouseCoopers, 2024. – 21 p.

Freed B. ChatGPT said it will ‘revolutionize’ digital government. Human experts are more cautious // . – 04.04.2023.

Buehler M.J. Accelerating scientific discovery with generative knowledge extraction, graph-based representation, and multimodal intelligent graph reasoning // Machine Learning: Science and Technology. – 2024. – Vol. 5. – № 3. Article № 035083. – P. 1–58.

Bandi A., Ramesh Adapa P.V., Kumar Kuchi Y.E. The Power of Generative AI: A Review of Requirements, Models, Input–Output Formats, Evaluation Metrics, and Challenges // Future Internet. – 2023. – Vol. 15. – № 8. – Article 260. – P. 1–60.

Saka A., Taiwo R., Saka N. et al. GPT models in construction industry: Opportunities, limitations, and a use case validation // Developments in the Built Environment. – 2024, March. – Vol. 17. – Article № 100300. – P. 1–29.

Haas C., Gilmore A. Introducing BloombergGPT, Bloomberg’s 50-billion parameter large language model, purpose-built from scratch for finance // . – 30.03.2023.

Generative AI Market Growth is Booming with 27.02 % // .

Kundu A. The case for a ChatGPT usage and adoption policy for public sector administration // .

Lamovšek N. Analysis of Research on Artificial Intelligence in Public Administration: Literature Review and Textual Analysis // Central European Public Administration Review. – 2023. – Vol. 21. – № 2. – P. 77–93. – P. 92–93.

Salah M., Abdelfattaha F., Al Halbusib H. Generative Artificial Intelligence (ChatGPT & Bard) in Public Administration Research: A Double-Edged Sword for Street-Level Bureaucracy Studies // International Journal of Public Administration. – 04.11.2023. – P. 1–7.

Onatayo D., Onososen A., Oyediran A.O. et al. Generative AI Applications in Architecture, Engineering, and Construction: Trends, Implications for Practice, Education & Imperatives for Upskilling – A Review // Architecture. – 2024. – Vol. 4. – P. 877–902.

Kammer M.N., Gomila P., Vambaco D.J., Maldonado F. The role of artificial intelligence in scientific writing // Journal of Clinical Case Reports, Medical Images and Health Sciences. – 2023. – Vol. 3. – № 3. – P. 1–6.

Belknap G. 150 years of scientific illustration // Nature. – 07.11.2019. – Vol. 575. – P. 25–28.

Cooperman S.R., Brandão R.A. AI assistance with scientific writing: Possibilities, pitfalls, and ethical considerations // Foot & Ankle Surgery: Techniques, Reports & Cases. – 2024, Spring. – Vol. 4. – № 1. – Article № 100350. – P. 1–3. – P. 1.

Zhang J., Sun K., Jagadeesh A. et al. The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant Get access Arrow // Journal of the American Medical Informatics Association. – 2024. – Vol. 31. – № 9. – P. 1884–1891.

Frueh S. Workshop Explores the ‘Opportunity and Perils’ of Using AI in Medical Diagnosis // . – 14.10.2024.

Mirzadeh I., Alizadeh K., Shahrokhi H., et.al. GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models // .

Metz R., Ghaffary S., Bass D., Love J. OpenAI, Google and Anthropic Are Struggling to Build More Advanced AI. Three of the leading artificial intelligence companies are seeing diminishing returns from their costly efforts to develop newer models // . – 13.11.2024.


Refbacks

  • There are currently no refbacks.


Abava  Кибербезопасность IT Congress 2024

ISSN: 2307-8162