Artificial intelligence and crowdsourcing in management: new approaches to political processes and public administration

Introduction. The article is devoted to the study of the effectiveness of artificial intelligence in the implementation of crowdsourcing technology in the framework of political management. The author emphasizes the importance of striving for digitalization and reducing bureaucracy in the framework of communication between government authorities and civil society, but also pays special attention to the risks associated with the introduction of data processing technologies and possible threats to national security. Purpose. The author has set himself the task of studying the effectiveness of artificial intelligence in the implementation of crowdsourcing technology in the framework of political management. In this regard, he highlighted and emphasized the depth and sophistication of the views of I.V. Aksenov, A.N. Alimov, V.P. Berezin, A.E. Golovin and others.

Methods. The methodological basis of the research was made up of general scientific and private scientific methodological tools: the method of abstraction, the comparative historical method, the method of retrospection, methods of induction and deduction, comparative analysis.

Results. Based on this, an in-depth study of the long-term effects of the introduction of intelligent algorithms and crowdsourcing platforms will assess their impact on the social, economic and political life of society, thereby providing a solid foundation for the development of inclusive and effective governance mechanisms in the future.

Conclusions. The article proves that the integration of artificial intelligence and crowdsourcing into managerial and political processes reveals the potential for fundamental changes in the public administration system aimed at improving services and increasing the level of inclusion of the population. These tools, if effectively implemented, can strengthen the dialogue between government and society, ensure transparency and prompt decision-making, and form a platform for a more rational resource policy.

1. Alimov A. N., Novikov E. S. Crowdsourcing in the public administration system: theory and practice. Moscow: Yurayt; 2020. 288 p. (In Russ.)

2. Zakharov N. S. Crowdsourcing as a tool for modernizing public administration. Management Sciences. 2022;(2):73–86. (In Russ.)

3. Golovin A. E. Crowdsourcing and digital platforms in public administration. Innovative development. 2021;(6):98–113. (In Russ.)

4. Grigoriev P. A., Smirnova L. V. Artificial intelligence in political decision-making: prospects and limitations. St. Petersburg: Peter; 2020. 320 p. (In Russ.)

5. Kalashnikov D. V., Tarasov M. I. Political crowdsourcing: a new paradigm of interaction between government and society. Yekaterinburg: USU; 2020. 256 p. (In Russ.)

6. Aksenov I. V. Artificial intelligence in public administration: opportunities and challenges. Public administration. Electronic bulletin. 2021;(4):12–28. (In Russ.)

7. Ivanov K. A. Artificial intelligence in the context of digital transformation of the state. Moscow: Ekonomika; 2021. 284 p. (In Russ.)

8. Sidorov M. P. Crowdsourcing and artificial intelligence: new approaches to project management. 2021. Available from: https://projectai.example.com (Access 09.01.2025). (In Russ.)

9. Kozlov A. N. Application of artificial intelligence in public sphere management. Politics and Society. 2021;(4):34–49. (In Russ.)

10. Smirnov V. K. Crowdsourcing as a tool for digital transformation of public administration. 2021. Available from: https://digitalgov.example.com/crowdsourcing (Accessed 09.01.2025). (In Russ.)

11. Ivanov A. I. The use of artificial intelligence technologies in the management of social processes. Electronic journal "Scientific result". 2022. Available from: https://ejournal.example.com/article123 (Accessed 01/09/2025). (In Russ.)

12. Berezin V. P. Artificial intelligence and big data in the management of political processes. Sociology of power. 2022;34(3):47–62. (In Russ.)

13. Petrova E. A. Artificial intelligence in political processes: an analytical review. Electronic bulletin of modern research. 2022. Available from: https://modernresearch.example.com/ai (Accessed 01/09/2025). (In Russ.)