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G7 Ülkelerinin Yapay Zeka Performanslarının Analizi: LOPCOW tabanlı MARCOS Yöntemi ile Bir Uygulama

Analysis of Artificial Intelligence Readiness Performances of G7 Countries: An Application with LOPCOW-based MARCOS Method

Furkan Fahri Altıntaş(Jandarma Genel Komutanlığı)0000-0002-0161-5862
Sayfa
99–121
Yayın Tarihi
2024-12-25
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Analiz, GAIRI bileşenlerinin öneminin ülkelere göre farklılık gösterdiğini, Veri ve Altyapı bileşenlerinin genellikle en önemli bileşenler olduğunu ortaya koymuştur.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Büyük ekonomilerin yapay zeka hazırlık performansları, küresel ekonomi üzerinde önemli bir etkiye sahip olabilir.
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Temel Bulgular & Veri:Bu çalışmada, G7 ülkelerinin yapay zeka hazırlık performansları, 2023 yılına ait en güncel Hükümet Yapay Zeka Hazırlık Endeksi (YZHE) verileri kullanılarak değerlendirilmiştir.
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Sonuç & Katkı:Analiz, GAIRI bileşenlerinin öneminin ülkelere göre farklılık gösterdiğini, Veri ve Altyapı bileşenlerinin genellikle en önemli bileşenler olduğunu ortaya koymuştur.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:2023 Verileri
⚙️Değişkenler:Yapay zeka · Yapay zeka hazırlık performansı · LOPCOW

Özet

Büyük ekonomilerin yapay zeka hazırlık performansları, küresel ekonomi üzerinde önemli bir etkiye sahip olabilir. Bu nedenle, bu ekonomilerin yapay zeka hazırlık performanslarının analizi büyük önem taşımaktadır. Bu çalışmada, G7 ülkelerinin yapay zeka hazırlık performansları, 2023 yılına ait en güncel Hükümet Yapay Zeka Hazırlık Endeksi (YZHE) verileri kullanılarak değerlendirilmiştir. Analiz, GAIRI bileşenlerinin öneminin ülkelere göre farklılık gösterdiğini, Veri ve Altyapı bileşenlerinin genellikle en önemli bileşenler olduğunu ortaya koymuştur. Ülkeler, yapay zeka hazırlık performanslarına göre LOPCOW tabanlı MARCOS yöntemi kullanılarak şu şekilde sıralanmıştır: ABD, Birleşik Krallık, Kanada, Fransa, Japonya, Almanya ve İtalya. Özellikle İtalya'nın yapay zeka hazırlık performansının ortalamanın altında olduğu belirlenmiş olup, küresel ekonomiye katkısını artırmak için iyileştirilmesi gerektiğini göstermektedir. Uygulanan yöntem, duyarlılık analizinde hassas, karşılaştırmalı analizde güvenilir ve simülasyon analizinde sağlam ve istikrarlı olduğunu kanıtlamıştır.

Abstract

The artificial intelligence (AI) readiness performance of major economies can significantly impact the global economy. Therefore, analyzing the AI readiness performance of these economies is of great importance. In this study, the AI readiness performances of G7 countries were assessed using the most recent Government Artificial Intelligence Readiness Index (GAIRI) data for 2023. The analysis revealed that the importance of GAIRI components varies by country, with Data and Infrastructure generally being the most significant components. The countries were ranked according to their AI readiness performances using the LOPCOW-based MARCOS method as follows: USA, United Kingdom, Canada, France, Japan, Germany, and Italy. Notably, Italy's AI readiness performance was below the average, indicating the need for improvement to enhance its contribution to the global economy. The method applied proved to be sensitive in sensitivity analysis, credible and reliable in comparative analysis, and robust and stable in simulation analysis.

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Bu Makaleye Atıf Yap

Altıntaş, F. F. (2024). G7 Ülkelerinin Yapay Zeka Performanslarının Analizi: LOPCOW tabanlı MARCOS Yöntemi ile Bir Uygulama. Bilgisayar Bilimleri, Cilt: 9 Sayı: Issue: 2, 99–121. https://doi.org/10.53070/bbd.1537792

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