Yapay Zeka Endeksi Kapsamında Ülke Bazlı Yapay Zeka Politika Stratejilerinin Etkinliği: Performans ve Verimlilik Değerlendirmesi İncelenmesi

Abstract

Bu araştırma ülkelerin ekonomik kalkınma hedeflerini desteklemek amacıyla oluşturduğu ulusal yapay zeka stratejilerini analiz etmektedir. Türkiye’nin Ulusal Yapay Zeka Stratejisi, veri erişimini artırma, yapay zeka uzmanları yetiştirme ve uluslararası iş birliğini güçlendirme gibi temel hedefler doğrultusunda tasarlanmıştır. Yapay Zeka Index platformu, yapay zekanın küresel ilerlemesini izleyerek ulusal politikaların etkisini değerlendirmek için önemli bir araç olarak kullanılmaktadır. Araştırmanın amacı, ülkelerin yapay zeka politikalarını karşılaştırarak stratejilerin etkinliğini ortaya koymaktır. Çalışmada, “Yapay Zeka Endeksi Kapsamında Ülke Bazlı Yapay Zeka Politika Stratejilerinin Etkinliği” veri seti kullanılmıştır. Google Looker Studio ile veri görselleştirmeleri yapılmış, K-means kümeleme yöntemiyle benzer yapay zeka kapasitelerine sahip ülkeler gruplandırılmıştır. Regresyon analizi, yapay zeka yatırımları ile ekonomik göstergeler arasındaki ilişkiyi incelerken, karar ağaçları analizi stratejilerin verimliliğine etki eden faktörleri belirlemiştir. Zaman serisi analizi ise stratejilerin sürdürülebilirliği konusunda uzun vadeli öngörüler sunmuştur. Yapılan araştırma sonucunda yapay zekanın küresel ekonomilere etkisi giderek artmaktadır. Başarı; güçlü bir Ar-Ge altyapısı, eğitim seviyesi, hükümet politikaları ve kültürel faktörlerin uyumuna bağlıdır. Girişimciliğin teşvik edilmesi, etik değerlere öncelik verilmesi ve uluslararası iş birliği imkanlarının artırılması bu süreçte kritik öneme sahiptir.

Keywords

• Yapay Zeka Politikaları
• Ulusal Yapay Zeka Stratejisi
• Ekonomik Etki
• Veri Görselleştirme ve Analiz

Effectiveness of Country-Based Artificial Intelligence Policy Strategies within the Scope of ArtifiI Index: Review of Performance and Efficiency Assessment

Abstract

This study examines national artificial intelligence strategies that countries have developed to bolster their economic development objectives. Turkey's National Artificial Intelligence Strategy focuses on key goals such as enhancing data accessibility, fostering AI talent, and strengthening international collaboration. The AI Index platform serves as a crucial tool for monitoring global AI advancements and assessing the influence of national policies. The research seeks to compare AI policies across countries to uncover the efficacy of these strategies. The study employs the dataset titled "Effectiveness of Country-Specific AI Policy Strategies within the AI Index." Data visualizations were generated using Google Looker Studio, and K-means clustering was used to group countries with similar AI capacities. Regression analysis investigated the correlation between AI investments and economic indicators, while decision tree analysis determined the factors influencing the effectiveness of strategies. Time series analysis offered long-term projections on the sustainability of strategies. The research findings reveal that AI is increasingly affecting global economies. Success hinges on a robust R&D infrastructure, education level, government policies, and alignment of cultural factors. Promoting entrepreneurship, prioritizing ethical values, and expanding international cooperation are essential in this process.

Keywords

• AI Policies
• National AI Strategy
• Economic Impact
• Data Visualization and Analysis

References

1. Abdülkadir, A. A. (11.01.2024), Yapay Zeka Yatırım Patlamasının Ortasında 2023'te ABD' de Startup Finansmanı %30 Düştü https://tr.investing.com/news/stock-market-news/yapay-zeka-yatrm-patlamasnn-ortasnda-2023te-abdde-startup-finansman-30-dustu-93CH-2653501?utm_source Erişim Tarihi: 12. Aralık .2024
2. Ahmed, K. (16.09.2015). Google's Demis Hassabis – Misuse of Artificial Intelligence 'Could Do Harm'. http://www.bbc.com/news/business‐34266425 Erişim Tarihi: 23.Kasım.2022.
3. Akbaş, A. (2024). Yapay Zekâ ile Toplumsal Dönüşüm: Sosyolojik Perspektif. International Journal of Humanities and Education, 10(22), 151–180. https://doi.org/10.59304/ijhe.1477203​:contentReference[oaicite:0]{index=0}
4. Alkaddour, M. (2022). Pazarlamada Yapay Zeka Kullanımı. İşletme Ve Girişimcilik Araştırmaları Dergisi, Aralık(1), 48-66.
5. Artificial Intelligence Index. (2011). The AI Index. Stanford University.
6. Artificial Intelligence Index. (2023). AI Index Report 2023. Stanford University.
7. Artificial Intelligence Index. (2023). Annual Report on AI Capabilities. Retrieved from [source].
8. Artificial Intelligence Index. (2024). AI Index Report 2024. Stanford University.

9. Artificial Intelligence Index. (2024). AI-Driven Agricultural Innovation in Developing Nations. Retrieved from [source].
10. Avrupa Komisyonu. (2021). Proposal for a regulation laying down harmonized rules on artificial intelligence (Artificial Intelligence Act) and amending certain union legislative acts (COM/2021/206 final). https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52021PC0206
11. Benaich, I., & Hogarth, N. (2023). State of AI Report 2023. State of AI. https://www.stateof.ai
12. Chen, J. H., & Chen, P. Y. (2021). AI-driven healthcare: Applications and ethical considerations. Proceedings of the IEEE, 109(3), 295-305. DOI: 10.1109/JPROC.2021.3067395
13. Chen, Z., & Chen, Y. (2021). The Rise of Artificial Intelligence in Asia. Computers in Society, 45(3), 201–215. [Publisher source].
14. Çoban, N., Eryiğit, T., Dülcek, S., Beydağ, D., vd. (2022). Hemşirelik mesleğinde yapay zeka ve robot teknolojilerinin yeri. Fenerbahçe University Journal of Health Sciences, 2(1), 378-385.
15. Dik Gazete. (2024). Taiwan’s Leadership in Semiconductor Industries. Retrieved from [source]. Doğan, M., Kılıç, A., & Şen, H. (2021). Türkiye’nin Savunma Sanayiindeki Yapay Zekâ Uygulamaları. Savunma ve Teknoloji Dergisi, 13(2), 32–48. [Publisher source].
16. Doğan, R., Karakoç, S., & Öztürk, F. (2021). Turkey's autonomous systems and defense technologies. Journal of Defense Studies, 9(2), 22-35. DOI: 10.1080/19463138.2021.1940237
17. Dutton, T.(28.06. 2018). An Overview of National AI Strategies. Medium. https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd Erişim Tarihi: 24.Kasım 2020.
18. Erdem, T., & Özbek, C. (2021). Avrupa Birliği'nin Yapay Zekâ Politikalarının Küresel Teknoloji Dönüşümüne Etkileri. İstanbul Rumeli Üniversitesi Sosyal Bilimler Dergisi, 1(1), 47–69.
19. Abay, E.G., (01.11. 2024). Küresel çip ve yarı iletken üretiminde jeopolitik rekabet artıyor. https://www.aa.com.tr/tr/ekonomi/kuresel-cip-ve-yari-iletken-uretiminde-jeopolitik-rekabet-artiyor/3381286 Erişim Tarihi: 27. Aralık 2024.
20. Etzioni, A., & Etzioni, O. (2020). Designing AI Systems That Obey Our Laws and Values. Communications of the ACM, 63(5), 68-74. DOI: 10.1145/3376221 European Commission (2018). “Coordinated Plan on Artificial Intelligence.”https://eur-lex.europa.eu/resource.html?uri=cellar:22ee84bbfa04-11e8-a96d-01aa75ed71a1.0002.02/DOC_1&format=PDF. Erişim Tarihi: 16. Ekim 2022.
21. European Commission. (2019). Ethics guidelines for trustworthy AI. Brussels: European Union. European Commission. (2021). Proposal for a regulation laying down harmonised rules on artificial intelligence. DOI: 10.2838/877070
22. Farahani, M. S., & Ghasemi, G. (2024). Artificial Intelligence and Inequality: Challenges and Opportunities. Qeios. https://doi.org/10.32388/7HWUZ2
23. Floridi, L. (2020). The Ethics of Artificial Intelligence: Emerging Issues and Challenges. AI & Society, 35(4), 701-710. DOI: 10.1007/s00146-020-00954-w
24. Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., et al. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5.
25. Fraenkel, J.R. ve Wallen, N.E. (2006). How to desing and evaluate research in education. New York: McGaw-Hill International Edition.
26. Fukuda, K. (2020). AI and Robotics in the Asia Pacific. Journal of Technological Advances, 12(4), 78–90. [Publisher source].
27. Fukuda, T. (2020). Manufacturing systems innovation: The impact of IoT and robotics. Procedia Manufacturing, 45, 7-16. DOI: 10.1016/j.promfg.2020.07.184
28. Granados, Ó., & Peña, N D L. (2021, January 1). Artificial Intelligence and International System Structure. Instituto Brasileiro de Relações Internacionais, 64(1). https://doi.org/10.1590/0034-7329202100103
29. Guo-Feng, S., Ma, Z., Feng, J., Zhu, F., Bai, X., & Gui, B. (2020, May 18). The impact of knowledge transfer performance on the artificial intelligence industry innovation network: An empirical study of Chinese firms. Public Library of Science, 15(5), e0232658-e0232658. https://doi.org/10.1371/journal.pone.0232658
30. Guo-Feng, Z., Ming-Hui, L., & Wei-Jie, C. (2020). Assessing the Impact of National AI Policies. International Journal of Artificial Intelligence and Policy.
31. İyigün, N. Ö. (2021). Yapay Zekâ ve Stratejik Yönetim. TRT Akademi, 6(13), 675-679. https://doi.org/10.37679/trta.1002518
32. Karadeniz, Ş., Büyüköztürk, Ş., E.Akgün, Ö., Demirel, F., & KılıçÇakmak, E. (2020). Eğitimde Bilimsel Araştırma Yöntemleri. Pegem Akademi Yayıncılık.
33. Yzhaber. (24.09.2024). Yapay zeka destekli robotiklerin sağlık alanındaki rolü. Yzhaber. https://www.yzhaber.tr/index.php/2024/10/24/yapay-zeka-destekli-robotiklerin-saglik-alanindaki-rolu/ Erişim Tarihi: 27. Aralık 2024
34. Köroğlu, Y. (2017). ‘‘Yapay Zeka’ nın Teorik ve Pratik Sınırları’’, BOUN, s.1-19
35. Köse, U. (2018). Are We Safe Enough in the Future of Artificial Intelligence? A Discussion on Machine Ethics and Artificial Intelligence Safety. Broad Research in Artificial Intelligence and Neuroscience, 9(2), 184-197.
36. Lee, K. F. (2018). AI superpowers: China, Silicon Valley, and the new world order. Houghton Mifflin Harcourt.
37. Liu, Y. (2019). Privacy and personal information protection in China’s all-seeing state. International Journal of Law and Information Technology, 31(4), 349-375. https://doi.org/10.1093/ijlit/eaae003
38. Meleshenko, K. (2023). AI Global Index [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DS/3185040
39. Mikhailov, D. (2023, May 11). Optimizing National Security Strategies through LLM-Driven Artificial Intelligence Integration. https://doi.org/10.36227/techrxiv.22787327.v1
40. National Artificial Intelligence Initiative Office. (2019). American AI Initiative: Year One Annual National Artificial Intelligence Initiative Office. (2021). The National AI Initiative: Advancing the American AI Strategy. https://www.ai.gov
41. National Artificial Intelligence Initiative Office. (2023). National AI Initiative. https://www.ai.gov/ OECD. (2023). Artificial Intelligence in Society. Organisation for Economic Co-operation and Development (OECD) OECD. (2023, February 28). A blueprint for building national compute capacity for artificial intelligence. https://doi.org/10.1787/876367e3-en
42. Perez‐Vega, R., Kaartemo, V., Lages, C R., Razavi, N B., & Männistö, J. (2020, November 21). Reshaping the contexts of online customer engagement behavior via artificial intelligence: A conceptual framework. Elsevier BV, 129, 902-910.
43. Porcher, S. (2024). Measuring Artificial Intelligence Capabilities and Readiness. Academy of Management Proceedings. https://doi.org/10.5465/AMBPP.2020.13168
44. Roche, C., Wall, P. J., & Lewis, D. (2022). Ethics and Diversity in Artificial Intelligence Policies, Strategies, and Initiatives. AI and Ethics, 3(1), 1095–1115. https://doi.org/10.1007/s43681-022-00218-9
45. Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
46. Schneider, S., & Leyer, M. (2019). Me or information technology? Adoption of artificial intelligence in the delegation of personal strategic decisions. Managerial and Decision Economics, 40(3), 223–231. https://doi.org/10.1002/mde.2982.
47. Smith, A., & Anderson, M. (2021). The Future of Artificial Intelligence: Trends and Impacts. Pew Research Center. DOI: 10.2139/ssrn.3711874
48. Smith, J., & Anderson, M. (2021). The Role of Silicon Valley in Global AI Development. Technological Horizons, 14(3), 45–62. [Publisher source].
49. Şahin, Y., & Aydın, S. (2020). AI ethics and regulation in emerging economies: The case of Turkey. Cogent Social Sciences, 6(1), 1782365. DOI: 10.1080/23311886.2020.1782365
50. Şalvarlı, M.S., 2. Kayışkan, D. (20211). Pazarlama Alanında Yapay Zekanın Gelişen Rolüne Genel Bir Bakış. İzmir Yönetim Dergisi, 2(2), 106-115.
51. Türkiye Cumhuriyeti Cumhurbaşkanlığı Dijital Dönüşüm Ofisi Ulusal Yapay Zekâ Stratejisi (2021-2025) https://cbddo.gov.tr/uyapay zeka s Erişim Tarihi: 13. KASIM 2024.
52. Türkiye Bilimsel ve Teknolojik Araştırma Kurumu [TÜBİTAK], (2024). Yapay zekâ enstitüsü. https://bilgem.tubitak.gov.tr/yze/ Erişim Tarihi: 26. ARALIK 2024.
53. Ukwandu, E., Omisade, O., Jones, K., Thorne, S., & Castle, M. (2024). The Future of Teaching and Learning In The Context Of Emerging Artificial Intelligence Technologies. Available at SSRN 4852030
54. van Esch, P., Black, J. S., & Ferolie, J. (2019). Marketing AI recruitment: The next phase in job application and selection. Computers in Human Behavior, 90, 215-222. https://doi.org/10.1016/j.chb.2018.09.009
55. Westerheide, F. (2020). China’s AI Development Strategies: A Case Study. Asia-Pacific Journal of Artificial Intelligence, 9(1), 15–29. [Publisher source]
56. Westerheide, F.(2020). China – The First Artificial Intelligence Superpower.
57. Wieckowski, A., Ma, J., Schwarz, H., Marpe, D., & Wiegand, T. (2019, September). Fast partitioning decision strategies for the upcoming versatile video coding (VVC) standard. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 4130-4134). IEEE.
58. Zemánková, A. (2019). Artificial Intelligence and Blockchain in Audit and Accounting: Literature Review. Wseas Transactions on Business and Economics, 16(1), 568‐581.
59. Zeng, Y., Lu, E., & Huangfu, L. (2020). China's AI strategy: Key developments and global impact. AI & Society, 35, 775-783. DOI: 10.1080/17475760.2020.1779339
60. Zhang, J., Lu, Y., & Yang, S. (2020). The emergence of artificial intelligence in China: Development trends and research status. Journal of AI Research and Applications, 12(2), 135-155.
61. Ziakis, C., & Vlachopoulou, M. (2023, December 17). Artificial Intelligence in Digital Marketing: Insights from a Comprehensive Review. Multidisciplinary Digital Publishing Institute, 14(12), 664-664. https://doi.org/10.3390/info14120664