Araştırma Makalesi
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Bi̇rleşmi̇ş Mi̇lletler sürdürülebi̇li̇r kalkınma hedefleri̇ne ulaşmada yapay zekanın önemi̇ üzeri̇ne bi̇r i̇nceleme

Yıl 2025, Sayı: 70, 1 - 10, 30.04.2025
https://doi.org/10.18070/erciyesiibd.1474884

Öz

Bu makale, Birleşmiş Milletler Sürdürülebilir Kalkınma Hedeflerinin (SKH'ler) gerçekleştirilmesi açısından en umut verici teknolojilerden biri olan yapay zekanın (YZ) katkısını incelemektedir. Yapay zeka sağlık, tarım, eğitim ve ekoloji gibi birçok alanda birçok değişiklik getirebilir. Daha büyük veri setlerinin toplanması ve makine öğreniminin kullanılması yoluyla YZ, sağlık hizmetlerinin iyileştirilmesi, eğitime eşit erişim, sürdürülebilir tarım uygulamaları ve iklim eylemi gibi birçok amacı hayata geçirmektedir. YZ bir yandan bir dizi fırsat sunarken, diğer yandan YZ kullanımı etik kaygılar, sosyal etkiler ve belki de mevcut bozulmaların daha da kötüleşmesi gibi sorunları gündeme getirmektedir. Bu makale, YZ teknolojisinin gerçekten ahlaki ve faydalı bir şekilde uygulanması için titiz etik düzenlemelerin ve kolektif çabaların oluşturulmasının vazgeçilmez kabul edilmesi gerektiğini iddia etmektedir. Adil ve iyi bir YZ gelişiminde eşitlik ve kapsayıcılığın rolü vurgulanmakta ve temel amacın toplumdaki herkesin daha iyi bir refaha sahip olmasına yardımcı olmak olduğu belirtilmektedir.

Kaynakça

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  • Alnasib, B. N. M. (2023). Factors Affecting Faculty Members’ Readiness to Integrate Artificial Intelligence into Their Teaching Practices: A Study from the Saudi Higher Education Context. International Journal of Learning, Teaching and Educational Research, 22(8), 465–491. https://doi.org/10.26803/IJLTER.22.8.24
  • An, T. (2019). Science Opportunities and Challenges Associated with SKA Big Data. https://doi.org/https://doi.org/10.48550/arxiv.1901.07756
  • Awoeyo, O. M. (2023). Exploring the Significance of AI through Chi-Square Testing in Business Decisions. December, 5(4), 385–403. https://doi.org/10.36548/JITDW.2023.4.005
  • Barrett, L. F., Adolphs, R., Marsella, S., Martinez, A. M., & Pollak, S. D. (2019). Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements. Psychological Science in the Public Interest, 20(1), 1–68. https://doi.org/10.1177/1529100619832930
  • Berry, S. T. (2021). The SKA Approach to Sustainable Research (pp. 25–31). https://doi.org/10.1007/978-3-030-52391-6_4
  • Campero, A. N. (2020). Keynote: Algorithmic Targeting of Social Policies: Fairness, Accuracy, and Distributed Governance. International Conference on EDemocracy & EGovernment, 14–14. https://doi.org/10.1109/ICEDEG48599.2020.9096679
  • CAMPO RUIZ, I. (2024). Controlling the environment with Artificial Intelligence risks intensifying social inequalities and colonization. Open Research Europe, 4, 16. https://doi.org/10.12688/openreseurope.16333.1
  • Chauhan, P., & Kaur, G. (2022). Gender Bias and Artificial Intelligence: A Challenge within the Periphery of Human Rights. Hasanuddin Law Review, 8(1), 46–59. https://doi.org/10.20956/HALREV.V8I1.3569
  • Chen, Y., Tian, X., Fan, K., Zheng, Y., Tian, N., & Fan, K. (2022). The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study. Computational and Mathematical Methods in Medicine, 2022. https://doi.org/10.1155/2022/2864170
  • Cheng, L., Varshney, K. R., & Liu, H. (2021). Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. Journal of Artificial Intelligence Research, 71, 1137–1181. https://doi.org/10.1613/JAIR.1.12814
  • Chui, M., & Harrysson, M. (2019). AI for human development | McKinsey. https://www.mckinsey.com/mgi/overview/in-the-news/ai-for-human-development
  • Coeckelbergh, M. (2021). AI for climate: freedom, justice, and other ethical and political challenges. AI and Ethics, 1(1), 67–72. https://doi.org/10.1007/s43681-020-00007-2
  • Critch, A., & Krueger, D. (2020). AI Research Considerations for Human Existential Safety (ARCHES).
  • Devi, K. J., Alghamdi, W., N, D., Alkhayyat, A., Sayyora, A., & Sathish, T. (2023). Artificial Intelligence in Healthcare: Diagnosis, Treatment, and Prediction. E3S Web of Conferences, 399, 04043. https://doi.org/10.1051/e3sconf/202339904043
  • Dignum, V. (2018). Ethics in artificial intelligence: introduction to the special issue. Ethics and Information Technology, 20(1), 1–3. https://doi.org/10.1007/s10676-018-9450-z
  • Dignum, V. (2023). Responsible Artificial Intelligence: Recommendations and Lessons Learned (pp. 195–214). https://doi.org/10.1007/978-3-031-08215-3_9
  • Elbasi, E., Mostafa, N., AlArnaout, Z., Zreikat, A. I., Cina, E., Varghese, G., Shdefat, A., Topcu, A. E., Abdelbaki, W., Mathew, S., & Zaki, C. (2023). Artificial Intelligence Technology in the Agricultural Sector: A Systematic Literature Review. IEEE Access, 11, 171–202. https://doi.org/10.1109/ACCESS.2022.3232485
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An examination of artificial intelligence's significance in reaching the United Nations' sustainable development goals

Yıl 2025, Sayı: 70, 1 - 10, 30.04.2025
https://doi.org/10.18070/erciyesiibd.1474884

Öz

This paper assesses the role of AI as one of the very likely technologies that can best help in achieving the Sustainable Development Goals of the United Nations (SDG's). AI stands behind revolutionary upgrades in the fields of healthcare, agriculture, education, and ecology. AI relies on larger sets of data and uses the process of machine learning to accomplish diverse objectives, like improving healthcare, equalizing education opportunities, and even introducing sustainable agriculture. Lastly, AI is used to address climate change. AI can open many opportunities, but at the same time, they can pose questions like ethical problems, the effects on society, and the issue that they may even aggravate. This paper proposes that the temporary adoption of stringent ethical laws and collaboration among experts in AI research are vital to ensuring that AI is not abused and is used for the benefit of society. We underscore the significance of equality and inclusivity in developing AI, which, on a global level, both benefits and improves the lives and welfare of all people.

Kaynakça

  • Aizenberg, E., & van den Hoven, J. (2020). Designing for human rights in AI. Big Data & Society, 7(2), 205395172094956. https://doi.org/10.1177/2053951720949566
  • Alnasib, B. N. M. (2023). Factors Affecting Faculty Members’ Readiness to Integrate Artificial Intelligence into Their Teaching Practices: A Study from the Saudi Higher Education Context. International Journal of Learning, Teaching and Educational Research, 22(8), 465–491. https://doi.org/10.26803/IJLTER.22.8.24
  • An, T. (2019). Science Opportunities and Challenges Associated with SKA Big Data. https://doi.org/https://doi.org/10.48550/arxiv.1901.07756
  • Awoeyo, O. M. (2023). Exploring the Significance of AI through Chi-Square Testing in Business Decisions. December, 5(4), 385–403. https://doi.org/10.36548/JITDW.2023.4.005
  • Barrett, L. F., Adolphs, R., Marsella, S., Martinez, A. M., & Pollak, S. D. (2019). Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements. Psychological Science in the Public Interest, 20(1), 1–68. https://doi.org/10.1177/1529100619832930
  • Berry, S. T. (2021). The SKA Approach to Sustainable Research (pp. 25–31). https://doi.org/10.1007/978-3-030-52391-6_4
  • Campero, A. N. (2020). Keynote: Algorithmic Targeting of Social Policies: Fairness, Accuracy, and Distributed Governance. International Conference on EDemocracy & EGovernment, 14–14. https://doi.org/10.1109/ICEDEG48599.2020.9096679
  • CAMPO RUIZ, I. (2024). Controlling the environment with Artificial Intelligence risks intensifying social inequalities and colonization. Open Research Europe, 4, 16. https://doi.org/10.12688/openreseurope.16333.1
  • Chauhan, P., & Kaur, G. (2022). Gender Bias and Artificial Intelligence: A Challenge within the Periphery of Human Rights. Hasanuddin Law Review, 8(1), 46–59. https://doi.org/10.20956/HALREV.V8I1.3569
  • Chen, Y., Tian, X., Fan, K., Zheng, Y., Tian, N., & Fan, K. (2022). The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study. Computational and Mathematical Methods in Medicine, 2022. https://doi.org/10.1155/2022/2864170
  • Cheng, L., Varshney, K. R., & Liu, H. (2021). Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. Journal of Artificial Intelligence Research, 71, 1137–1181. https://doi.org/10.1613/JAIR.1.12814
  • Chui, M., & Harrysson, M. (2019). AI for human development | McKinsey. https://www.mckinsey.com/mgi/overview/in-the-news/ai-for-human-development
  • Coeckelbergh, M. (2021). AI for climate: freedom, justice, and other ethical and political challenges. AI and Ethics, 1(1), 67–72. https://doi.org/10.1007/s43681-020-00007-2
  • Critch, A., & Krueger, D. (2020). AI Research Considerations for Human Existential Safety (ARCHES).
  • Devi, K. J., Alghamdi, W., N, D., Alkhayyat, A., Sayyora, A., & Sathish, T. (2023). Artificial Intelligence in Healthcare: Diagnosis, Treatment, and Prediction. E3S Web of Conferences, 399, 04043. https://doi.org/10.1051/e3sconf/202339904043
  • Dignum, V. (2018). Ethics in artificial intelligence: introduction to the special issue. Ethics and Information Technology, 20(1), 1–3. https://doi.org/10.1007/s10676-018-9450-z
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  • Hasan, Md. T., Shamael, M. N., Akter, A., Islam, R., Mukta, Md. S. H., & Islam, S. (2023). An Artificial Intelligence-based Framework to Achieve the Sustainable Development Goals in the Context of Bangladesh.
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  • Khan, Md. R. (2024). Advances in Architectures for Deep Learning: A Thorough Examination of Present Trends. Journal of Artificial Intelligence General Science (JAIGS) ISSN:3006-4023, 1(1), 24–30. https://doi.org/10.60087/JAIGS.V1I1.P30
  • Krishnan, S. R., Nallakaruppan, M. K., Chengoden, R., Koppu, S., Iyapparaja, M., Sadhasivam, J., &
  • Sethuraman, S. (2022). Smart Water Resource Management Using Artificial Intelligence—A Review. Sustainability, 14(20). https://doi.org/10.3390/SU142013384
  • Kshirsagar, M., Robinson, C., Yang, S., Gholami, S., Klyuzhin, I., Mukherjee, S., Nasir, M., Ortiz, A., Oviedo, F., Tanner, D., Trivedi, A., Xu, Y., Zhong, M., Dilkina, B., Dodhia, R., & Lavista Ferres, J. M. (2021). Becoming Good at AI for Good. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 664–673. https://doi.org/10.1145/3461702.3462599
  • Kumar, J., Chawla, R., Katiyar, D., Chouriya, A., Nath, D., Sahoo, S., Ali, A., & Singh, B. veer. (2023). Optimizing Irrigation and Nutrient Management in Agriculture through Artificial Intelligence Implementation. International Journal of Environment and Climate Change, 13(10), 4016–4022. https://doi.org/10.9734/IJECC/2023/V13I103077
  • Lau, P. L., Nandy, M., & Chakraborty, S. (2023). Accelerating UN Sustainable Development Goals with AI-Driven Technologies: A Systematic Literature Review of Women’s Healthcare. Healthcare (Switzerland), 11(3). https://doi.org/10.3390/HEALTHCARE11030401
  • Lepri, B., Oliver, N., & Pentland, A. (2021). Ethical machines: The human-centric use of artificial intelligence. IScience, 24(3), 102249. https://doi.org/10.1016/j.isci.2021.102249
  • Liengpunsakul, S. (2021). Artificial Intelligence and Sustainable Development in China. The Chinese Economy, 54(4), 235–248. https://doi.org/10.1080/10971475.2020.1857062
  • Mhlanga, D. (2020). Artificial Intelligence (AI) and Poverty Reduction in the Fourth Industrial Revolution (4IR). https://doi.org/10.20944/PREPRINTS202009.0362.V1
  • Moghaddam, S. M. S. H., Dashtdar, M., & Jafari, H. (2022). AI applications in smart cities’ energy systems automation. Repa Proceeding Series, 3(1), 1–5. https://doi.org/10.37357/1068/CRGS2022.3.1.01
  • Nahar, S. (2024). Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting. Technological Forecasting and Social Change, 201, 123203. https://doi.org/10.1016/J.TECHFORE.2023.123203 Nanehkaran, Y. A., Chen, B., Cemiloglu, A., Chen, J., Anwar, S., Azarafza, M., & Derakhshani, R. (2023). Riverside Landslide Susceptibility Overview: Leveraging Artificial Neural Networks and Machine Learning in Accordance with the United Nations (UN) Sustainable Development Goals. Water 2023, Vol. 15, Page 2707, 15(15), 2707. https://doi.org/10.3390/W15152707
  • Nasir, O., Javed, R. T., Gupta, S., Vinuesa, R., & Qadir, J. (2023). Artificial intelligence and sustainable development goals nexus via four vantage points. Technology in Society, 72, 102171. https://doi.org/10.1016/J.TECHSOC.2022.102171
  • Nathaniel, S. P., & Adeleye, N. (2021). Environmental preservation amidst carbon emissions, energy consumption, and urbanization in selected african countries: Implication for sustainability. Journal of Cleaner Production, 285. https://doi.org/10.1016/J.JCLEPRO.2020.125409
  • Nishant, R., Kennedy, M., & Corbett, J. (2020). Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. International Journal of Information Management, 53, 102104. https://doi.org/10.1016/j.ijinfomgt.2020.102104
  • Odirichukwu, J. C., Odirichukwu, S. P. C., Okolie, S. A., Njoku, O. A., Dimoji, C., Ndigwe, C., Ekuma, G. O., Onuoha, G., Igwe, F. A., Chika-Ugada, P. K., & Ewunonu, T. C. (2024). Leveraging AI-Driven IoT Systems for Enhanced Air Quality Management in Nigeria: An Impact Examination towards Sustainable Development Goal. Journal of IoT and Machine Learning, 1(2), 13–21. https://doi.org/10.48001/JOITML.2024.1213-21
  • Palomares, I., Martínez-Cámara, E., Montes, R., García-Moral, P., Chiachio, M., Chiachio, J., Alonso, S., Melero, F. J., Molina, D., Fernández, B., Moral, C., Marchena, R., de Vargas, J. P., & Herrera, F. (2021a). A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects. Applied Intelligence, 51(9), 6497–6527. https://doi.org/10.1007/s10489-021-02264-y
  • Palomares, I., Martínez-Cámara, E., Montes, R., García-Moral, P., Chiachio, M., Chiachio, J., Alonso, S., Melero, F. J., Molina, D., Fernández, B., Moral, C., Marchena, R., de Vargas, J. P., & Herrera, F. (2021b). A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects. Applied Intelligence, 51(9), 6497–6527. https://doi.org/10.1007/s10489-021-02264-y
  • Pinarbasi, F., Sonmez Cakir, F., Güner Gültekin, D., Yazici, M., & Adiguzel, Z. (2023). Examination of the effects of value creation, intellectual property and organizational creativity on artificial intelligence focused enterprises. Business Process Management Journal, 30(1), 317–337. https://doi.org/10.1108/BPMJ-07-2023-0551
  • Pizzi, M., Romanoff, M., & Engelhardt, T. (2020). AI for humanitarian action: Human rights and ethics. International Review of the Red Cross, 102(913), 145–180. https://doi.org/10.1017/S1816383121000011
  • Rybalko, P. (2024). The evolution of artificial intelligence: problems and prospects of rational cognition. Review of Artificial Intelligence in Education, 5, e029. https://doi.org/10.37497/REV.ARTIF.INTELL.EDUC.V5I00.29
  • Sætra, H. S. (2021). AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System. Sustainability, 13(4), 1738. https://doi.org/10.3390/su13041738
  • Schaefer, L. (2023). An Emerging Era of Artificial Intelligence Research in Agriculture. Journal of Robotics Spectrum, 36–46. https://doi.org/10.53759/9852/JRS202301004
  • Shaban, W. M. (2023). Breast Cancer Classification based on Artificial Intelligence: State of the Art. Nile Journal of Communication and Computer Science, 0(0), 0–0. https://doi.org/10.21608/NJCCS.2023.189145.1008
  • Singh, A., Kanaujia, A., Singh, V. K., & Vinuesa, R. (2024). Artificial intelligence for <scp>Sustainable Development Goals</scp> : Bibliometric patterns and concept evolution trajectories. Sustainable Development, 32(1), 724–754. https://doi.org/10.1002/sd.2706
  • Singh, J. A. (2019). Artificial Intelligence and global health: opportunities and challenges. Emerging Topics in Life Sciences, 3(6), 741–746. https://doi.org/10.1042/ETLS20190106
  • Sirmacek, B., Gupta, S., Mallor, F., Azizpour, H., Ban, Y., Eivazi, H., Fang, H., Golzar, F., Leite, I., Melsion, G. I., Smith, K., Fuso Nerini, F., & Vinuesa, R. (2023). The Potential of Artificial Intelligence for Achieving Healthy and Sustainable Societies (pp. 65–96). https://doi.org/10.1007/978-3-031-21147-8_5
  • Stahl, B. C. (2021). Ethical Issues of AI (pp. 35–53). https://doi.org/10.1007/978-3-030-69978-9_4 Taddeo, M., Tsamados, A., Cowls, J., & Floridi, L. (2021). Artificial intelligence and the climate emergency: Opportunities, challenges, and recommendations. One Earth, 4(6), 776–779. https://doi.org/10.1016/j.oneear.2021.05.018
  • Tomašev, N., Cornebise, J., Hutter, F., Mohamed, S., Picciariello, A., Connelly, B., Belgrave, D. C. M., Ezer, D., Haert, F. C. van der, Mugisha, F., Abila, G., Arai, H., Almiraat, H., Proskurnia, J., Snyder, K., Otake-Matsuura, M., Othman, M., Glasmachers, T., Wever, W. de, … Clopath, C. (2020). AI for social good: unlocking the opportunity for positive impact. Nature Communications, 11(1), 2468. https://doi.org/10.1038/s41467-020-15871-z
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  • Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11(1), 233. https://doi.org/10.1038/s41467-019-14108-y
  • Visvizi, A. (2022). Artificial Intelligence (AI) and Sustainable Development Goals (SDGs): Exploring the Impact of AI on Politics and Society. Sustainability 2022, Vol. 14, Page 1730, 14(3), 1730. https://doi.org/10.3390/SU14031730
  • Wahl, B., Cossy-Gantner, A., Germann, S., & Schwalbe, N. R. (2018). Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings? BMJ Global Health, 3(4), e000798. https://doi.org/10.1136/bmjgh-2018-000798
  • Wahyudi Sumari, A. D. (2020). The Contributions of Artificial Intelligence in Achieving Sustainable Development Goals: Indonesia Case. IOP Conference Series: Materials Science and Engineering, 982(1), 012063. https://doi.org/10.1088/1757-899X/982/1/012063 Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial Intelligence and the Public Sector—Applications and Challenges. International Journal of Public Administration, 42(7), 596–615. https://doi.org/10.1080/01900692.2018.1498103
  • Yenikaya, M. A., Kerse, G., & Oktaysoy, O. (2024). Artificial intelligence in the healthcare sector: comparison of deep learning networks using chest X-ray images. Frontiers in Public Health, 12. https://doi.org/10.3389/FPUBH.2024.1386110
  • Zhou, J., Chen, F., Berry, A., Reed, M., Zhang, S., & Savage, S. (2020). A Survey on Ethical Principles of AI and Implementations. 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 3010–3017. https://doi.org/10.1109/SSCI47803.2020.9308437
Toplam 68 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İktisat Teorisi, Mikro İktisat (Diğer)
Bölüm Makaleler
Yazarlar

Çetin Ünen 0000-0001-9097-9088

Erken Görünüm Tarihi 25 Nisan 2025
Yayımlanma Tarihi 30 Nisan 2025
Gönderilme Tarihi 28 Nisan 2024
Kabul Tarihi 21 Şubat 2025
Yayımlandığı Sayı Yıl 2025 Sayı: 70

Kaynak Göster

APA Ünen, Ç. (2025). An examination of artificial intelligence’s significance in reaching the United Nations’ sustainable development goals. Erciyes Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi(70), 1-10. https://doi.org/10.18070/erciyesiibd.1474884

33329ERÜ İktisadi ve İdari Bilimler Fakültesi Dergisi 2025 | iibfdergi@erciyes.edu.tr 33313

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