Contribution of artificial intelligence based technologies to UN Sustainable Development Goals
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DOI:
https://doi.org/10.47243/jos.2627Keywords:
Artificial Intelligence, Patent, Sustainable Development Goals, ChatGBTAbstract
The rapid development of technologies in recent years has the potential to transform social and economic conditions by reshaping the world of innovation. However, while some of these technologies are commercialised and benefit society, others remain at the academic level. It is essential that new technologies are transformed into products that add value to the economy and deliver tangible benefits. The United Nations Sustainable Development Goals (SDGs) provide a framework that promotes social, environmental and global sustainability, as well as economic development.
Artificial intelligence stands out as an important technology that offers solutions to both social and economic problems, contributing to sustainable development. In particular, AI-based solutions to global problems such as hunger, poverty, inequality and violence offer opportunities for building a sustainable world. However, although a significant proportion of high technologies are developed in universities, they remain at the academic level. Patents, as one of the tangible outputs of this process, are a critical tool for measuring innovation and monitoring technological development. As a source of prestige for universities, patents also play an important role in the transformation of technology into societal benefits.
The study is a qualitative study, and the data obtained through content analysis will be categorised. This study aims to identify the relationship between the country's innovation ecosystem and the SDGs, by analysing the AI-based technological patent portfolios of universities in Turkey. The study will examine the areas in which innovative technologies are concentrated, and the SDGs to which these technologies contribute. The findings will contribute to the strategic planning of universities and Turkey's development policies, strengthening the link between technology and sustainability.
Artificial intelligence stands out as an important technology that offers solutions to both social and economic problems, contributing to sustainable development. In particular, AI-based solutions to global problems such as hunger, poverty, inequality and violence offer opportunities for building a sustainable world. However, although a significant proportion of high technologies are developed in universities, they remain at the academic level. Patents, as one of the tangible outputs of this process, are a critical tool for measuring innovation and monitoring technological development. As a source of prestige for universities, patents also play an important role in the transformation of technology into societal benefits.
This study aims to identify the relationship between the country's innovation ecosystem and the SDGs, by analysing the AI-based technological patent portfolios of universities in Turkey. The study will examine the areas in which innovative technologies are concentrated, and the SDGs to which these technologies contribute. The findings will contribute to the strategic planning of universities and Turkey's development policies, strengthening the link between technology and sustainability. The study is a qualitative study, and the data obtained through content analysis will be categorised.
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References
ARSLAN, K. (2020). Eğitimde Yapay Zekâ ve Uygulamaları. Batı Anadolu Eğitim Bilimleri Dergisi, 11(1), 71-88.
ÇELİK, M. (2023). ChatGPT Kullanarak Türkiye’de Yoksullukla Mücadele Stratejilerinin Araştırılması. International Conference on Pioneer and Innovative Studies.
ÇETİN, B. (2023). Sağlık Hizmetleri Ve Yapay Zekâ. Uluslararası Ekonomi ve Siyaset Bilimleri Akademik Araştırmalar Dergisi.
DHARWAL, M., AGARWAL, N., KUMAR, S., ANAND, S.K., & VATSA, M. (2021). Building Smarter Smart Cities for Sustainable Development through Artificial Intelligence. 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 1185-1187.
DRAHOŠ, P., & MAYNÉ, R. (2002). Global Intellectual Property Rights: Knowledge, access and development. Springer.
FADZISO, T. (2019). How Artificial Intelligence Improves Agricultural Productivity and Sustainability: A Global Thematic Analysis. Asia Pacific Journal of Energy and Environment.
GÜLEÇ, İ. (2020). Üniversite Fikriyatı: Geçmişten Geleceğe Üniversitelerin Dönüşümü (Analiz Raporu: 2020/06). İstanbul: İLKE İlim Kültür Eğitim Vakfı
HARIRI, W. (2024). Sentiment Analysis of Citations in Scientific Articles Using ChatGPT: Identifying Potential Biases and Conflicts of Interest. ArXiv, abs/2404.01800.
HEPKUL, A. (2002). Bir Sosyal Bilim Araştırma Yöntemi Olarak İçerik Analizi. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 18(1), 1-12.
ISALM, M. (2024). AI for Sustainable Development: Addressing Environmental and Social Challenges. Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023.
KELEŞ, H. (2022). Tıpta Yapay Zekâ Uygulamaları. Kırıkkale Üniversitesi Tıp Fakültesi Dergisi.
MEGAWATI, R., LISTIANI, H., PRANOTO, N.W., AKOBIAREK, M., & MEGAHATİ S, R.R. (2023). Role of GPT Chat in Writing Scientific Articles: A Systematic Literature Review. Jurnal Penelitian Pendidikan IPA.
METİN, O., & ÜNAL, Ş. (2022). İçerik Analizi Tekniği: İletişim Bilimlerinde ve Sosyolojide Doktora Tezlerinde Kullanımı. Anadolu Üniversitesi Sosyal Bilimler Dergisi.
NOSENKO, Y. (2022). Methodological Principles of Content Analysis of Websites. Modern Economics. Prognosticate. Açıköğretim Uygulamaları ve Araştırmaları Dergisi.
REGER, R.K., & KINCAID, P. (2021). Content and Text Analysis Methods for Organizational Research. Oxford Research Encyclopedia of Business and Management.
SELL, S.K. (2004). What Role for Humanitarian Intellectual Property? The Globalization of Intellectual Property Rights. Minnesota Journal of Law, Science & Technology, 6, 191.
SHAHVAROUGHI FARAHANI, M., & GHASEMI, G. (2024). Artificial Intelligence and Inequality: Challenges and Opportunities. Qeios.
SHUFORD, J. (2024). Interdisciplinary Perspectives: Fusing Artificial Intelligence with Environmental Science for Sustainable Solutions. Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023.
SUNARTI, S., FADZLUL RAHMAN, F., NAUFAL, M.N., RISKY, M., FEBRIYANTO, K., & MASNINA, R. (2021). Artificial intelligence in healthcare: opportunities and risk for future. Gaceta Sanitaria, 35 Suppl 1, S67-S70 .
TARHAN, Ç., ÖZGÜR, A.S., TEKE, İ., & KOMESLİ, M. (2022). Görüntü İşleme Entegre Afet Yönetiminde Yapay Zekâ Yöntemi Olarak Kullanılabilir Mi? Journal of Research in Business.
TÜRK PATENT VE MARKA KURUMU. (2022). Türkiye patent başvurularında dünyadaki yükselişini sürdürüyor. Türk Patent ve Marka Kurumu. Erişim adresi: https://www.turkpatent.gov.tr/haberler/turkiye-patent-basvurularinda-dunyadaki-yukselisini-surduruyor
USIMP (2021), Üniversite Patentleri Analiz Raporu, https://www.usimp.org.tr/tr/sayfa/belge/raporlar-17 (20.10.2024).
VİCTOIRE A., D.T., KARUNAMURTHY, D.A., SANDHIYA, S., & YUVARAJ, S. (2023). Leveraging Artificial Intelligence for Enhancing Agricultural Productivity and Sustainability. Quing: International Journal of Innovative Research in Science and Engineering.
YOLCU, H. (2024). Redefining the Teacher's Role in The Era of Artificial General Intelligence:
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