Yapay Zekanın Geleceği: İnovasyon ve Sürdürülebilirlik
Özet
Bu bölümde, yapay zekanın inovasyon süreçlerindeki rolü, sürdürülebilir kalkınmaya katkısı ve gelecekte insanlarla etkileşimde nasıl bir dönüşüm geçireceği ele alınmaktadır. Yapay zeka; eğitim, sağlık, endüstri ve çevresel sürdürülebilirlik alanlarında yeni fırsatlar yaratırken, etik ve güvenlik konularını da gündeme getirmektedir. Yapay zeka destekli inovasyon; kişiselleştirilmiş ürün ve hizmetler, otonom sistemler, veri odaklı iş modelleri ve verimlilik artışı gibi birçok alanda kendini göstermektedir. Aynı zamanda enerji yönetimi, akıllı şehirler ve atık yönetimi gibi çevresel sürdürülebilirlik uygulamalarında da büyük katkılar sunmaktadır. Bölümün sonunda, etik yapay zeka uygulamalarının teşvik edilmesi, dijital eşitsizliklerin giderilmesi ve kamu-özel sektör iş birliklerinin güçlendirilmesi gibi öneriler sunulmaktadır. Yapay zekanın geleceği, inovasyon ve sürdürülebilirlik perspektifinden değerlendirildiğinde, bu teknoloji hem ekonomik hem de sosyal dönüşüm için kritik bir araç olarak öne çıkmaktadır.
This section discusses the role of artificial intelligence in innovation processes, its contribution to sustainable development, and how it will transform human interaction in the future. While artificial intelligence creates new opportunities in the fields of education, health, industry, and environmental sustainability, it also raises ethical and security issues. Artificial intelligence-supported innovation manifests itself in many areas such as personalized products and services, autonomous systems, data-driven business models, and increased efficiency. It also makes major contributions to environmental sustainability practices such as energy management, smart cities, and waste management. At the end of the section, suggestions are presented such as encouraging ethical artificial intelligence applications, eliminating digital inequalities, and strengthening public-private sector collaborations. When the future of artificial intelligence is evaluated from the perspective of innovation and sustainability, this technology stands out as a critical tool for both economic and social transformation.
Referanslar
Akpınar, M.T. (2023). Akıllı şehirler ve yapay zeka. TYB Akademi Dil Edebiyat & Sosyal Bilimler Dergisi, 37, p9
Ahmed, B., Shabbir, H., Naqvi S. R. & Peng, L. (2024). Smart agriculture: Current state, opportunities, and challenges, IEEE Access, 12, 144456-144478. Doi: 10.1109/ACCESS.2024.3471647.
Behnke, J., Mitchell, A. & Ramapriyan, H. (2019). NASA’s Earth Observing Data and Information System – Near-term challenges. Data Science Journal, 18(1), 40-51. https://doi.org/10.5334/dsj-2019-040.
Brynjolfsson, E. & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. 1st ed.,W. W. Norton & Company.
Buturache, A. &Stancu, S. (2021) Wind energy prediction using machine learning. Low Carbon Economy, 12, 1-21. Doi: 10.4236/lce.2021.121001.
Chui, M., & Francisco, S. (2017). Artificial intelligence the next digital frontier. McKinsey and Company Global Institute, 47(3.6), 6-8.
Davenport, T. H. & Ronanki, R. (2018). Artificial ıntelligence for the real world. Harvard Business Review (HBR), 96(1), 108-116.
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for aı in society. Harvard Data Science Review, 1, 2-15. Doi: 10.1162/99608f92.8cd550d1
İnaç, H., Oztemel, E. & Aydın, M. E. (2021). Smartness and strategic priority assessment in transition to mobility 4.0 for smart cities. Journal of Intelligent Systems: Theory and Applications, 4(2), 113-126. Doi: 10.38016/jista.933005
Kaplan, A. & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62 (1), 15-25. Doi: 10.1016/j.bushor.2018.08.004.
Küçüktüvek, M. & Altay, Ç. (2025). Wooden structures in sustainable design: AI-based energy efficiency and environmental impact. PLANARCH - Design and Planning Research, 9(1), 90-98. Doi: 10.54864/planarch.1586765
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep Learning. Nature, 521(7553):436-44. doi: 10.1038/nature14539. PMID: 26017442.
Luckin, R., Holmes, W., Griffiths, M. & Forcier, L.B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education. https://static.googleusercontent.com/media/edu.google.com/en//pdfs/Intelligence-Unleashed-Publication.pdf
Rolnick, R., Donti, R.L. Kaack, L.H. et al. (2019). Tackling climate change with machine learning. ACM Computing Surveys (CSUR), 55(2), 42, 1 – 96. Doi: 10.1145/3485128
Russell, S. & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence) 4.th ed., Pearson
Saygılı Balcı, H. & Erdem, T. (2024). Artificial ıntelligence-supported recycling systems: sustainable solutions against climate change. In: Güngör, B. & Küçük, Ö. (eds.), Climate Perspectives for a Sustainable Future. Özgür Publications. DOI: 10.58830/ozgur.pub564.c2269
Schwab, K. (2016). The Fourth Industrial Revolution. Crown Publishing Group, New York.
Sengar, S.S., Hasan, A.B., Kumar, S. et al. (2024). Generative artificial intelligence: a systematic review and applications. Multimed Tools Appl. Doi: 10.1007/s11042-024-20016-1
Studer, L., Ketabdari, M. & Marchionni, G. (2015). Analysis of adaptive traffic control systems design of a decision support system for better choices. J Civil Environ Eng 5, 195. Doi:10.4172/2165-784X.1000195
Şimşek, O. & Tunalı, H. (2022). Yeşil Finansman Uygulamalarının Sürdürülebilir Kalkınma Üzerindeki Rolü: Türkiye Projeksiyonu. Ekonomi Ve Finansal Araştırmalar Dergisi, 4(1), 16-45.
Tamburrini, G. (2022). The AI carbon footprint and responsibilities of AI scientists. Philosophies, 7(1), 4. Doi: 10.3390/philosophies7010004
Topol, E.J. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
Wang, W.Y., Zhang, S., Li, G., et al. (2024). Artificial intelligence enabled smart design and manufacturing of advanced materials: the endless frontier in AI+ era. MGE Advances. 2(3), 56. Doi: 10.1002/mgea.56
Yüksel, S. & Ercoşkun, Ö. (2023). Akıllı ulaşım sistemlerinde otonom araçlar ve kente etkileri. Bölüm 7, pp. 151-174. In Book Ekonomik Devrim Blockchaın, Eds. Yılmaz, Ö. & Karsu, ß., Nobel Yayınevi
Referanslar
Akpınar, M.T. (2023). Akıllı şehirler ve yapay zeka. TYB Akademi Dil Edebiyat & Sosyal Bilimler Dergisi, 37, p9
Ahmed, B., Shabbir, H., Naqvi S. R. & Peng, L. (2024). Smart agriculture: Current state, opportunities, and challenges, IEEE Access, 12, 144456-144478. Doi: 10.1109/ACCESS.2024.3471647.
Behnke, J., Mitchell, A. & Ramapriyan, H. (2019). NASA’s Earth Observing Data and Information System – Near-term challenges. Data Science Journal, 18(1), 40-51. https://doi.org/10.5334/dsj-2019-040.
Brynjolfsson, E. & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. 1st ed.,W. W. Norton & Company.
Buturache, A. &Stancu, S. (2021) Wind energy prediction using machine learning. Low Carbon Economy, 12, 1-21. Doi: 10.4236/lce.2021.121001.
Chui, M., & Francisco, S. (2017). Artificial intelligence the next digital frontier. McKinsey and Company Global Institute, 47(3.6), 6-8.
Davenport, T. H. & Ronanki, R. (2018). Artificial ıntelligence for the real world. Harvard Business Review (HBR), 96(1), 108-116.
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for aı in society. Harvard Data Science Review, 1, 2-15. Doi: 10.1162/99608f92.8cd550d1
İnaç, H., Oztemel, E. & Aydın, M. E. (2021). Smartness and strategic priority assessment in transition to mobility 4.0 for smart cities. Journal of Intelligent Systems: Theory and Applications, 4(2), 113-126. Doi: 10.38016/jista.933005
Kaplan, A. & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62 (1), 15-25. Doi: 10.1016/j.bushor.2018.08.004.
Küçüktüvek, M. & Altay, Ç. (2025). Wooden structures in sustainable design: AI-based energy efficiency and environmental impact. PLANARCH - Design and Planning Research, 9(1), 90-98. Doi: 10.54864/planarch.1586765
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep Learning. Nature, 521(7553):436-44. doi: 10.1038/nature14539. PMID: 26017442.
Luckin, R., Holmes, W., Griffiths, M. & Forcier, L.B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education. https://static.googleusercontent.com/media/edu.google.com/en//pdfs/Intelligence-Unleashed-Publication.pdf
Rolnick, R., Donti, R.L. Kaack, L.H. et al. (2019). Tackling climate change with machine learning. ACM Computing Surveys (CSUR), 55(2), 42, 1 – 96. Doi: 10.1145/3485128
Russell, S. & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence) 4.th ed., Pearson
Saygılı Balcı, H. & Erdem, T. (2024). Artificial ıntelligence-supported recycling systems: sustainable solutions against climate change. In: Güngör, B. & Küçük, Ö. (eds.), Climate Perspectives for a Sustainable Future. Özgür Publications. DOI: 10.58830/ozgur.pub564.c2269
Schwab, K. (2016). The Fourth Industrial Revolution. Crown Publishing Group, New York.
Sengar, S.S., Hasan, A.B., Kumar, S. et al. (2024). Generative artificial intelligence: a systematic review and applications. Multimed Tools Appl. Doi: 10.1007/s11042-024-20016-1
Studer, L., Ketabdari, M. & Marchionni, G. (2015). Analysis of adaptive traffic control systems design of a decision support system for better choices. J Civil Environ Eng 5, 195. Doi:10.4172/2165-784X.1000195
Şimşek, O. & Tunalı, H. (2022). Yeşil Finansman Uygulamalarının Sürdürülebilir Kalkınma Üzerindeki Rolü: Türkiye Projeksiyonu. Ekonomi Ve Finansal Araştırmalar Dergisi, 4(1), 16-45.
Tamburrini, G. (2022). The AI carbon footprint and responsibilities of AI scientists. Philosophies, 7(1), 4. Doi: 10.3390/philosophies7010004
Topol, E.J. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
Wang, W.Y., Zhang, S., Li, G., et al. (2024). Artificial intelligence enabled smart design and manufacturing of advanced materials: the endless frontier in AI+ era. MGE Advances. 2(3), 56. Doi: 10.1002/mgea.56
Yüksel, S. & Ercoşkun, Ö. (2023). Akıllı ulaşım sistemlerinde otonom araçlar ve kente etkileri. Bölüm 7, pp. 151-174. In Book Ekonomik Devrim Blockchaın, Eds. Yılmaz, Ö. & Karsu, ß., Nobel Yayınevi
