Araştırma Makalesi

Artificial Intelligence Applications in Addressing the Ecological Crisis: A Critical Review

Cilt: 3 Sayı: 2 30 Ekim 2025
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Artificial Intelligence Applications in Addressing the Ecological Crisis: A Critical Review

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This study critically examines the potential of 21st-century technological transformation, particularly artificial intelligence (AI), in addressing ecological crises. Drawing on historical and societal transformations—from hunter-gatherer societies to feudal and capitalist systems—it highlights how human-nature relationships have been reshaped and how ecological crises are closely intertwined with production relations. The paper explores AI applications in key ecological domains, including water quality, air quality, biodiversity and habitat conservation, and carbon capture and storage, demonstrating that these technologies can play an effective role in monitoring and mitigating environmental problems. However, case studies indicate that the potential benefits of AI are constrained by data infrastructure gaps, high costs, algorithmic uncertainties, social inequalities, and insufficient governance mechanisms. The study argues that the effectiveness of AI in ecological crisis management depends not only on technical advancements but also on social adaptation, inclusive governance, and equitable access to resources. When deployed with societal oversight and aligned with collective well-being, AI technologies can serve as powerful tools for sustainable ecological management, whereas unregulated or inequitable use risks deepening existing crises. The findings underscore the importance of integrating technical, social, and ecological considerations to fully leverage AI’s potential in addressing global environmental challenges.

Anahtar Kelimeler

Etik Beyan

Bu çalışma, tüm etik kurallara uyulmuş olup, çıkar çatışması bulunmamaktadır.

Kaynakça

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  2. Berrisford, L. J., Ribeiro, E., & Menezes, R. (2022). Estimating ambient air pollution using structural properties of road networks. arXiv. https://arxiv.org/abs/2207.14335 (04.09.2025).
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  4. BEIS (Department for Business, Energy & Industrial Strategy). (2021). White Rose Carbon Capture and Storage Project. Retrieved from Beevers, S. D., Kitwiroon, N., Williams, M. L., Kelly, F. J., Anderson, H. R., & Carslaw, D. C. (2013). Air pollution dispersion models for human exposure predictions in London. Journal of Exposure Science & Environmental Epidemiology, 23(6), 647-653. https://doi.org/10.1038/jes.2013.6 https://www.nature.com/articles/jes20136 (04.09.2025).
  5. BEIS (Department for Business, Energy & Industrial Strategy). (2021). White Rose Carbon Capture and Storage Project. Retrieved from https://www.gov.uk/government/publications/white-rose-carbon-capture-and-storage-project (05.09.2025).
  6. Bell, D. (1999). The coming of post-industrial society: A venture in social forecasting. Basic Books.
  7. Bell, M. L., & Davis, D. L. (2001). Reassessment of the lethal London fog of 1952: Novel indicators of acute and chronic consequences of acute exposure to air pollution. Environmental Health Perspectives, 109(Suppl 3), 389–394. https://doi.org/10.1289/ehp.01109s3389 https://ehp.niehs.nih.gov/doi/10.1289/ehp.01109s3389 (05.09.2025).
  8. Branco, V. V., Correia, L., & Cardoso, P. (2023). The use of machine learning in species threats and conservation analysis. Biological Conservation, 283, Article 110091. https://doi.org/10.1016/j.biocon.2023.110091 https://www.sciencedirect.com/journal/biological-conservation/vol/283/suppl/C (02.09.2025).

Ayrıntılar

Birincil Dil

İngilizce

Konular

Sosyoloji (Diğer)

Bölüm

Araştırma Makalesi

Yazarlar

Yayımlanma Tarihi

30 Ekim 2025

Gönderilme Tarihi

29 Eylül 2025

Kabul Tarihi

29 Ekim 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 3 Sayı: 2

Kaynak Göster

APA
Güneş, B. S. (2025). Artificial Intelligence Applications in Addressing the Ecological Crisis: A Critical Review. Social Review of Technology and Change, 3(2), 135-156. https://izlik.org/JA48SR28XA
AMA
1.Güneş BS. Artificial Intelligence Applications in Addressing the Ecological Crisis: A Critical Review. SRTC. 2025;3(2):135-156. https://izlik.org/JA48SR28XA
Chicago
Güneş, Bedri Sina. 2025. “Artificial Intelligence Applications in Addressing the Ecological Crisis: A Critical Review”. Social Review of Technology and Change 3 (2): 135-56. https://izlik.org/JA48SR28XA.
EndNote
Güneş BS (01 Ekim 2025) Artificial Intelligence Applications in Addressing the Ecological Crisis: A Critical Review. Social Review of Technology and Change 3 2 135–156.
IEEE
[1]B. S. Güneş, “Artificial Intelligence Applications in Addressing the Ecological Crisis: A Critical Review”, SRTC, c. 3, sy 2, ss. 135–156, Eki. 2025, [çevrimiçi]. Erişim adresi: https://izlik.org/JA48SR28XA
ISNAD
Güneş, Bedri Sina. “Artificial Intelligence Applications in Addressing the Ecological Crisis: A Critical Review”. Social Review of Technology and Change 3/2 (01 Ekim 2025): 135-156. https://izlik.org/JA48SR28XA.
JAMA
1.Güneş BS. Artificial Intelligence Applications in Addressing the Ecological Crisis: A Critical Review. SRTC. 2025;3:135–156.
MLA
Güneş, Bedri Sina. “Artificial Intelligence Applications in Addressing the Ecological Crisis: A Critical Review”. Social Review of Technology and Change, c. 3, sy 2, Ekim 2025, ss. 135-56, https://izlik.org/JA48SR28XA.
Vancouver
1.Bedri Sina Güneş. Artificial Intelligence Applications in Addressing the Ecological Crisis: A Critical Review. SRTC [Internet]. 01 Ekim 2025;3(2):135-56. Erişim adresi: https://izlik.org/JA48SR28XA