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Journals / Florya Chronicles of Political Economy / 2025 / Cilt: 11 Sayı: 2

EXPLORING OECD COUNTRIES IN TERMS OF GOVERNMENT ARTIFICIAL INTELLIGENCE READINESS WITH MULTIDIMENSIONAL SCALING

DEVLET YÖNETİMİNDE YAPAY ZEKÂYA HAZIR OLMA AÇISINDAN OECD ÜLKELERİNİN ÇOK BOYUTLU ÖLÇEKLEME İLE İNCELENMESİ

Mehmet Hakan Özdemir(Türk-Alman Üniversitesi)0000-0002-7174-9807
Pages
177–192
Publication Date
2025-10-23
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Thus, OECD countries that are similar to each other in terms of AI readiness are identified.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Artificial intelligence (AI), impacting all sectors today, is employed to enhance production processes and increase business efficiency through advanced algorithms and big data analysis.
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Key Findings & Data:The 2024 Government AI Readiness Index (GAIRI) investigates the AI readiness of countries by analyzing forty indicators across ten dimensions, which make up three fundamental pillars (government, technology sector, and data and infrastructure).
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Conclusion & Impact:Thus, OECD countries that are similar to each other in terms of AI readiness are identified.
🔬Design:Araştırma Makalesi
📍Scope:2024 Verileri
⚙️Variables:Yapay Zekâ · OECD · Devletlerin Yapay Zekâya Hazır Olma Endeksi

Abstract

Artificial intelligence (AI), impacting all sectors today, is employed to enhance production processes and increase business efficiency through advanced algorithms and big data analysis. AI-powered decision support systems and autonomous devices transform healthcare, finance, education, and production. AI also helps governments serve citizens faster, better, and more efficiently. Big data analytics and automation can cut public service costs, speed up bureaucracy, and improve quality. Citizens can get instant answers from AI-powered chatbots and automated response systems. Countries are competing to advance the use of AI and become leaders in its benefits. The 2024 Government AI Readiness Index (GAIRI) investigates the AI readiness of countries by analyzing forty indicators across ten dimensions, which make up three fundamental pillars (government, technology sector, and data and infrastructure). This study visualizes the thirty-eight member countries of the Organisation for Economic Co-operation and Development (OECD) according to their similarities in terms of AI readiness using the three pillar scores of the 2024 GAIRI with multidimensional scaling. Thus, OECD countries that are similar to each other in terms of AI readiness are identified.

Özet

Günümüzde tüm sektörleri etkileyen yapay zekâ, gelişmiş algoritmalar ve büyük veri analizi sayesinde üretim süreçlerini geliştirmek ve iş verimliliğini artırmak için kullanılmaktadır. Yapay zekâ destekli karar destek sistemleri ve otonom cihazlar sağlık, finans, eğitim ve üretimi dönüştürmektedir. Yapay zekâ ayrıca hükümetlerin vatandaşlara daha hızlı, daha iyi ve daha verimli hizmet vermesine yardımcı olmaktadır. Büyük veri analitiği ve otomasyon, kamu hizmeti maliyetlerini azaltabilir, bürokrasiyi hızlandırabilir ve kaliteyi artırabilir. Vatandaşlar, yapay zekâ destekli sohbet robotlarından ve otomatik yanıt sistemlerinden anında yanıt alabilirler. Ülkeler yapay zekâ kullanımını ilerletmek ve onun sağlayacağı faydalarda lider olmak için yarışmaktadır. 2024 Devletlerin Yapay Zekâya Hazır Olma Endeksi, üç temel sütunu (hükümet, teknoloji sektörü ve veri ve altyapı) oluşturan on boyutta kırk göstergeyi analiz ederek ülkelerin yapay zekâya hazır olup olmadığını araştırmaktadır. Bu çalışma, 2024 Devletlerin Yapay Zekâya Hazır Olma Endeksinin üç sütun puanını kullanarak, çok boyutlu ölçekleme ile otuz sekiz OECD üye ülkesini yapay zekâya hazır olma açısından benzerliklerine göre görselleştirmektedir. Böylece, yapay zekâya hazır olma açısından birbirine benzer OECD ülkeleri belirlenmiştir.

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Cite This Article

Özdemir, M. H. (2025). EXPLORING OECD COUNTRIES IN TERMS OF GOVERNMENT ARTIFICIAL INTELLIGENCE READINESS WITH MULTIDIMENSIONAL SCALING. Florya Chronicles of Political Economy, Cilt: 11 Sayı: 2, 177–192. https://ajindex.com/articles/1484711

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