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A Systematic Review Integrating the Perspectives of Artificial Intelligence for Sustainability and Sustainability of Artificial Intelligence

Cilt: 8 Sayı: 1 30 Haziran 2026
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A Systematic Review Integrating the Perspectives of Artificial Intelligence for Sustainability and Sustainability of Artificial Intelligence

Öz

While artificial intelligence technologies offer significant opportunities for achieving the Sustainable Development Goals (SDGs), they also present ethical, environmental, and economic challenges. This study provides a comprehensive systematic literature review that maps the dimensions of “AI for Sustainability” and “Sustainability of AI” within an integrated theoretical framework. Using the PRISMA methodology, 167 records were compiled from Web of Science, Scopus, and Google Scholar; after applying inclusion and exclusion criteria, 81 articles were analysed in depth. Studies focused primarily on engineering and technical computation were excluded to ensure alignment with the study’s social sciences and sustainability management orientation. Findings in the “AI for Sustainability” dimension reveal that AI makes significant contributions to SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure). However, empirical research on SDG 5 (Gender Equality), SDG 10 (Reduced Inequalities), and SDG 13 (Climate Action) remains insufficient, with social and environmental SDGs systematically underrepresented. In the “Sustainability of AI” dimension, the literature predominantly focuses on the ecological sub-theme (energy consumption and carbon emissions), while the organisational, social, and economic dimensions remain comparatively neglected. Notable findings include the context-dependent nature of energy-efficiency strategies and evidence that current AI infrastructure creates an unsustainable carbon lock-in. This study offers a thematic and normative mapping that addresses the limitations of prior reviews in integrating both dimensions. The findings point to three priorities: advancing empirical research on social sustainability, integrating a lifecycle perspective into ecological analyses, and examining the adaptability of governance models across diverse regional contexts.
 

Anahtar Kelimeler

Kaynakça

  1. Abulibdeh, A., Zaidan, E., & Abulibdeh, R. (2024). Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions. Journal of Cleaner Production, 437. https://doi.org/10.1016/j.jclepro.2023.140527
  2. Adewale, B. A., Ene, V. O., Ogunbayo, B. F., & Aigbavboa, C. O. (2024). A systematic review of the applications of AI in a sustainable building’s lifecycle. Buildings, 14(7), Article 2137. https://doi.org/10.3390/buildings14072137
  3. Ahmad, T., Zhang, D., Huang, C., Zhang, H., Dai, N., Song, Y., & Chen, H. (2021). Artificial intelligence in sustainable energy industry: Status quo, challenges and opportunities. Journal of Cleaner Production, 289, Article 125834. https://doi.org/10.1016/j.jclepro.2021.125834
  4. Ali, S., Fapi, E. T., Jaumard, B., & Planche, A. (2024). Focus on Carbon Dioxide Footprint of AI/ML Model Training. 524–529. https://doi.org/10.1109/imsa61967.2024.10652803
  5. Alshahrani, R., Yenugula, M., Algethami, H., Alharbi, F., Goswami, S. S., Naveed, Q. N., Lasisi, A., Islam, S., Khan, N. A., & Zahmatkesh, S. (2024). Establishing the fuzzy integrated hybrid MCDM framework to identify the key barriers to implementing artificial intelligence-enabled sustainable cloud system in an IT industry. Expert Systems with Applications, 238. https://doi.org/10.1016/j.eswa.2023.121732
  6. Bolón-Canedo, V., Morán-Fernández, L., Cancela, B., & Alonso-Betanzos, A. (2024). A review of green artificial intelligence: Towards a more sustainable future. Neurocomputing, 599. https://doi.org/10.1016/j.neucom.2024.128096
  7. Bolte, L., Vandemeulebroucke, T., & Wynsberghe, A. van. (2022). From an Ethics of Carefulness to an Ethics of Desirability: Going Beyond Current Ethics Approaches to Sustainable AI. Sustainability, 14(8). https://doi.org/10.3390/su14084472
  8. Bossert, L. N., & Hagendorff, T. (2023). The ethics of sustainable AI: Why animals (should) matter for a sustainable use of AI. Sustainable Development, 31(5), 3459–3467. https://doi.org/10.1002/sd.2596

Ayrıntılar

Birincil Dil

İngilizce

Konular

İş Sistemleri (Diğer)

Bölüm

Derleme

Erken Görünüm Tarihi

30 Haziran 2026

Yayımlanma Tarihi

30 Haziran 2026

Gönderilme Tarihi

28 Aralık 2025

Kabul Tarihi

20 Haziran 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 8 Sayı: 1

Kaynak Göster

APA
Turgut, T., Doğramacı, M., Siler, S. G., & Alma Çallı, B. (2026). A Systematic Review Integrating the Perspectives of Artificial Intelligence for Sustainability and Sustainability of Artificial Intelligence. Sakarya Üniversitesi İşletme Enstitüsü Dergisi, 8(1), 40-59. https://doi.org/10.47542/sauied.1850659
AMA
1.Turgut T, Doğramacı M, Siler SG, Alma Çallı B. A Systematic Review Integrating the Perspectives of Artificial Intelligence for Sustainability and Sustainability of Artificial Intelligence. Sakarya Üniversitesi İşletme Enstitüsü Dergisi. 2026;8(1):40-59. doi:10.47542/sauied.1850659
Chicago
Turgut, Taner, Muhammed Doğramacı, Selis Güler Siler, ve Büşra Alma Çallı. 2026. “A Systematic Review Integrating the Perspectives of Artificial Intelligence for Sustainability and Sustainability of Artificial Intelligence”. Sakarya Üniversitesi İşletme Enstitüsü Dergisi 8 (1): 40-59. https://doi.org/10.47542/sauied.1850659.
EndNote
Turgut T, Doğramacı M, Siler SG, Alma Çallı B (01 Haziran 2026) A Systematic Review Integrating the Perspectives of Artificial Intelligence for Sustainability and Sustainability of Artificial Intelligence. Sakarya Üniversitesi İşletme Enstitüsü Dergisi 8 1 40–59.
IEEE
[1]T. Turgut, M. Doğramacı, S. G. Siler, ve B. Alma Çallı, “A Systematic Review Integrating the Perspectives of Artificial Intelligence for Sustainability and Sustainability of Artificial Intelligence”, Sakarya Üniversitesi İşletme Enstitüsü Dergisi, c. 8, sy 1, ss. 40–59, Haz. 2026, doi: 10.47542/sauied.1850659.
ISNAD
Turgut, Taner - Doğramacı, Muhammed - Siler, Selis Güler - Alma Çallı, Büşra. “A Systematic Review Integrating the Perspectives of Artificial Intelligence for Sustainability and Sustainability of Artificial Intelligence”. Sakarya Üniversitesi İşletme Enstitüsü Dergisi 8/1 (01 Haziran 2026): 40-59. https://doi.org/10.47542/sauied.1850659.
JAMA
1.Turgut T, Doğramacı M, Siler SG, Alma Çallı B. A Systematic Review Integrating the Perspectives of Artificial Intelligence for Sustainability and Sustainability of Artificial Intelligence. Sakarya Üniversitesi İşletme Enstitüsü Dergisi. 2026;8:40–59.
MLA
Turgut, Taner, vd. “A Systematic Review Integrating the Perspectives of Artificial Intelligence for Sustainability and Sustainability of Artificial Intelligence”. Sakarya Üniversitesi İşletme Enstitüsü Dergisi, c. 8, sy 1, Haziran 2026, ss. 40-59, doi:10.47542/sauied.1850659.
Vancouver
1.Taner Turgut, Muhammed Doğramacı, Selis Güler Siler, Büşra Alma Çallı. A Systematic Review Integrating the Perspectives of Artificial Intelligence for Sustainability and Sustainability of Artificial Intelligence. Sakarya Üniversitesi İşletme Enstitüsü Dergisi. 01 Haziran 2026;8(1):40-59. doi:10.47542/sauied.1850659