Applying AI systems to policy decisions in times of uncertainty: Potential problems

Egor I. Egorov, teaching assistant of International Relations and Regional Studies Department, Novosibirsk State Technical University, e-mail: egorov.george@icloud.com

In contemporary political science and decision-making practices, there is a growing interest in the application of artificial intelligence (AI) to address the increasing uncertainty and complexity of global processes. This trend stems from AI's ability to analyze multidimensional data, uncover hidden correlations, and forecast the outcomes of political actions, which can enhance the validity and effectiveness of decision-making. However, the integration of AI into political governance presents several fundamental challenges that require careful consideration. The aim of this article is to identify the issues related to the implementation of AI systems in political decision-making and explore potential solutions.

Keywords: artificial intelligence, political decision making, times of uncertainty

References

1. Alekseev, R.A. Artificial intelligence in the service of the state: arguments “pro” and “contra”. Journal of Political Studies. 2020. V. 4. No. 2. Pp. 58–69.
2. Matyukhin, A.V., Davydova, Yu.A. Artificial intelligence in political management: trends and prospects. Journal of Political Studies. 2023. V. 7. No. 4. Pp. 100–113.
3. Sebekin, S.A. Artificial intelligence in political processes: prospects and challenges. Izvestiia Irkutsk State University. Series Political Science. Religious Studies. 2023. V. 46. Pp. 7–18.
4. Seliverstova, A.D. Opportunities and risks, ethical problems of using artificial intelligence in public administration. Humanities, socio-economic and social sciences. 2024. No. 3. Pp. 56–60.
5. Berger, L., Berger, N., Bosetti, V., Gilboa, I., Hansen, L.P., Jarvis, C., et al. Uncertainty and Decision-Making During a Crisis: How to Make Policy Decisions in the COVID-19 Context? [Electronic resource]. URL: https://repec.bfi.uchicago.edu/RePEc/pdfs/ BFI_WP_202095.pdf. (accessed on: 10.04.2025).
6. Butler, J. What World Is This? A Pandemic Phenomenology. NY: Columbia University Press, 2022.
7. Charles, V., Rana, N.P., Carter, L. Artificial Intelligence for data- driven decision-making and governance in public affairs. Gov. Inf, 2022.
8. Coglianese, C., Lehr, D. Regulating by robot: administrative decision making in the machine-learning era. Georgetown Law J. 2017. Pp. 1147–1223.
9. Kochenderfer, M.J. Decision Making Under Uncertainty. Theory and Application. Cambridge: The MIT Press, 2015.
10. McEvoy, F.J. Political machines: ethical governance in the age of AI. Moral Philos. Politics. 2019, 6. Pp. 337–356.
11. Naude, W. Artificial Intelligence vs COVID-19: limitations, constraints and pitfalls. AI Soc. 2020, 35. Pp. 761–765.
12. White, J.M., Lidskog, R. Ignorance and the regulation of artificial intelligence. J. Risk Res. 2022, 25. Pp. 488–500.