Open Access Peer-reviewed Review

Adapting to a rapidly evolving world: Insights from AI initiatives in Azerbaijan

Main Article Content

Tunar Mammadov
Maral Jamalova corresponding author

Abstract

This study investigates the evolution and impact of Artificial Intelligence (AI) in Azerbaijan, focusing on its integration into various sectors through state-led digital initiatives. It examines Artificial Intelligence (AI) developments in Azerbaijan from 2019 to 2023, focusing on its integration across government, technology, and infrastructure through the AI Readiness Index. As Azerbaijan adopts AI to boost economic growth and enhance public services, significant progress is evident in digital initiatives and broader e-governance efforts. The study highlights the potential of AI to transform Azerbaijan's socioeconomic landscape and establish it as a regional hub for digital innovation, while also considering the ongoing challenges and future opportunities for enhancing its digital ecosystem.

Keywords
artificial intelligence, Azerbaijan, situational approach

Article Details

How to Cite
Mammadov, T., & Jamalova, M. (2025). Adapting to a rapidly evolving world: Insights from AI initiatives in Azerbaijan. Advances in Mobile Learning Educational Research, 5(1), 1262-1271. https://doi.org/10.25082/AMLER.2025.01.003

References

  1. AI Lab. (2024). Azerbaijan Artificial Intelligence LabNo Title. https://ailab.az
  2. Azerbaijan 2030: National Priorities for socio-economic development, (2021). https://president.az/az/articles/view/50474
  3. Charter of the Center for Analysis and Coordination of the Fourth Industrial Revolution, (2021). https://4sim.gov.az/en/page/haqqimzda/nizamname
  4. Dey, B., Sorour, K., & Filieri, R. (Eds.). (2016). ICTs in Developing Countries. Palgrave Macmillan UK. https://doi.org/10.1057/9781137469502
  5. Dinh Thanh, S., Hart, N., & Canh, N. P. (2020). Public spending, public governance and economic growth at the Vietnamese provincial level: A disaggregate analysis. Economic Systems, 44(4), 100780. https://doi.org/10.1016/j.ecosys.2020.100780
  6. Iuga, I. C., & Socol, A. (2024). Government Artificial Intelligence Readiness and Brain Drain: Influencing Factors and Spatial Effects in the European Union Member States. Journal of Business Economics and Management, 25(2), 268–296. https://doi.org/10.3846/jbem.2024.21136
  7. Lampropoulos, G. (2023). Recommender systems in education: A literature review and bibliometric analysis. Advances in Mobile Learning Educational Research, 3(2), 829–850. https://doi.org/10.25082/amler.2023.02.011
  8. Liengpunsakul, S. (2021). Artificial Intelligence and Sustainable Development in China. The Chinese Economy, 54(4), 235–248. https://doi.org/10.1080/10971475.2020.1857062
  9. Maslej, N., Fattorini, L., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., Ngo, H., Niebles, J. C., & Parli, V. (2023). The AI index 2023 annual report. AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA.
  10. Measuring the AI content of government-funded R&D projects. (2021). In OECD Science, Technology and Industry Working Papers. Organisation for Economic Co-Operation and Development (OECD). https://doi.org/10.1787/7b43b038-en
  11. Mikhaylov, S. J., Esteve, M., & Campion, A. (2018). Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2128), 20170357. https://doi.org/10.1098/rsta.2017.0357
  12. Neumann, O., Guirguis, K., & Steiner, R. (2022). Exploring artificial intelligence adoption in public organizations: a comparative case study. Public Management Review, 26(1), 114–141. https://doi.org/10.1080/14719037.2022.2048685
  13. Oxford Insights. (2019). Government AI readiness index 2019. https://oxfordinsights.com
  14. Oxford Insights. (2020). Government AI Readiness Index 2020. https://oxfordinsights.com
  15. Oxford Insights. (2021). Government AI Readiness Index 2021. https://oxfordinsights.com
  16. Oxford Insights. (2022). Government AI Readiness Index 2022. https://oxfordinsights.com
  17. Oxford Insights. (2023). Government AI Readiness Index 2023. https://oxfordinsights.com
  18. Press-relizler. (2023). A Memorandum of Understanding has been signed between the Central Bank of the Republic of Azerbaijan and the Ministry of Digital Development and Transport. Central Bank of the Republic of Azerbaijan. https://www.cbar.az
  19. Recommendation of the Council on Artificial Intelligence, (2019). https://legalinstruments.oecd.org
  20. Sarwari, A. Q., & Mohd Adnan, H. (2024). The effectiveness of artificial intelligence (AI) on daily educational activities of undergraduates in a modern and diversified university environment. Advances in Mobile Learning Educational Research, 4(1), 927–930. https://doi.org/10.25082/amler.2024.01.004
  21. Schiff, D. (2021). Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies. International Journal of Artificial Intelligence in Education, 32(3), 527–563. https://doi.org/10.1007/s40593-021-00270-2
  22. Stirling, R. (2024). Evaluating national AI readiness with the Government AI Readiness Index. https://www.unesco.org
  23. Strategic Road Map of the perspective of the national economy of the Republic of Azerbaijan. 2016: 947. https://static.president.az
  24. Strategic Roadmap for the development of telecommunications and information technologies in the Republic of Azerbaijan. 2016: 65. https://azertag.az
  25. Tortoise Media. (2024). The Global AI Index 2024. https://www.tortoisemedia.com/intelligence/global-ai
  26. UNDP. (2023). Geleceye Aparan Yol: Azerbaycanda Süni Intellekt, Melumatların Mühafizesi ve Yeni Texnologiyalara Baxış (The Road to the Future: An Overview of Artificial Intelligence, Data Protection and New Technologies in Azerbaijan). https://www.undp.org
  27. Uren, V., & Edwards, J. S. (2023). Technology readiness and the organizational journey towards AI adoption: An empirical study. International Journal of Information Management, 68, 102588. https://doi.org/10.1016/j.ijinfomgt.2022.102588
  28. World Bank. (2020). Azerbaijan Judicial Services and Smart Infrastructure Project-Additional Financing. https://www.worldbank.org