Yapay Zekâ Entegrasyonu ve Sosyal İnovasyon: Sürdürülebilir Kalkınma Amaçlarıyla Uyumlu Disiplinlerarası Araştırma Eğilimleri

Year 2024, Volume: 5 Issue: 3, 418 - 443, 28.10.2024

Ayşe Aslı Yılmaz

https://doi.org/10.54733/smar.1543390

Abstract

Bu çalışma, Yapay Zeka (YZ), Makine Öğrenimi, Doğal Dil İşleme (NLP) ve Prompt Mühendisliği'nin sosyal bilimlere entegrasyonunu ve bu teknolojilerin işbirlikçi ağlar, tematik gelişmeler ve Sürdürülebilir Kalkınma Amaçları (SKA'lar) ile uyumlu araştırma eğilimleri üzerindeki etkilerini incelemektedir. Bibliyometrik analiz ve konu modelleme yöntemlerini kullanan araştırma, son on yılı kapsayan Web of Science (WoS) veri tabanından elde edilen 389 yayını analiz etmektedir. Bulgular, bu teknolojilerin sosyal bilimlerle kesişiminde disiplinlerarası araştırmalarda önemli bir büyüme olduğunu ve özellikle yönetim, işletme ve çevre çalışmaları alanlarında kayda değer katkılar yapıldığını ortaya koymaktadır. Çalışma, YZ'nin ürün geliştirmede yenilikçi uygulamaları, enerji sektöründeki ilerlemeler ve eğitim ile sağlık alanlarındaki kullanımı gibi ana temaları belirlemektedir. Araştırma, YZ'nin sürdürülebilir kalkınmayı desteklemedeki dönüştürücü potansiyeline vurgu yaparken, etik kaygıların ele alınmasının ve sorumlu bir şekilde uygulanmasının önemine de dikkat çekmektedir. Bu çalışma, YZ ve ilgili teknolojilerin sosyal bilimleri nasıl yeniden şekillendirdiği ve küresel sürdürülebilirlik hedeflerine ulaşmada oynadığı rol hakkında daha derin bir anlayışa katkı sağlamaktadır.

Keywords

yapay zeka entegrasyonu, sürdürülebilir kalkınma amaçları, sosyal inovasyon

Artificial Intelligence Integration and Social Innovation: Interdisciplinary Research Trends Aligned with the Sustainable Development Goals

Abstract

This study investigates the integration of Artificial Intelligence (AI), Machine Learning, Natural Language Processing (NLP), and Prompt Engineering into the social sciences and their impact on collaborative networks, thematic developments, and research trends aligned with the Sustainable Development Goals (SDGs). Utilizing bibliometric analysis and topic modeling, the research analyzes a dataset of 389 publications from the Web of Science (WoS) database, spanning the last decade. The findings highlight significant growth in interdisciplinary research at the intersection of these technologies and social sciences, with notable contributions in management, business, and environmental studies. The study identifies key themes such as AI-driven innovation in product development, progress in the energy sector, and the use of AI in educational and healthcare environments. It highlights AI’s transformative potential in promoting sustainable development, while also stressing the significance of addressing ethical concerns and ensuring responsible application. This research contributes to a deeper understanding of how AI and related technologies are reshaping the social sciences and their role in achieving global sustainability goals.

Keywords

artificial intelligence integration, sustainable development goals, social innovation

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