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The environmental footprint of artificial intelligence: A multi-aspect analysis of energy, water and electronic waste

Year 2025, Volume: 7 Issue: 2, 78 - 89

Tülay Turan , Gökhan Turan , İbrahim Kırbaş

Abstract

Artificial intelligence (AI), one of the most innovative areas of modern technology, has a wide range of application potential, from optimizing industrial processes to solving environmental problems. However, its rapidly increasing use leads to significant environmental impacts. This study aims to comprehensively analyze the existing literature on the environmental impacts of artificial intelligence within the framework of energy consumption, carbon emissions, water use, and electronic waste and to develop sustainable strategies to reduce these impacts. The study also evaluated strategic interventions such as developing algorithms based on energy efficiency, integrating renewable energy sources, transparent carbon reporting, and sustainable design approaches. These analyses reveal that reducing the environmental costs of artificial intelligence is possible not only with technological innovations but also with policy development, regulations, and stakeholder cooperation. The findings show that if the environmental impacts of artificial intelligence are effectively managed, technological progress can be achieved in a way that is compatible with environmental sustainability. The study provides a basic framework for future research and policy development processes and emphasizes that artificial intelligence should be developed with a sustainability-oriented approach.

Keywords

Artificial intelligence environmental sustainability carbon footprint energy consumption water usage electronic waste

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Yapay zekanın çevresel ayak izi: Enerji, su ve elektronik atık üzerine çok yönlü bir analiz

Year 2025, Volume: 7 Issue: 2, 78 - 89

Tülay Turan , Gökhan Turan , İbrahim Kırbaş

Abstract

Yapay zeka (Artificial Intelligence - AI), modern teknolojinin en yenilikçi alanlarından biri olarak, endüstriyel süreçlerin optimizasyonundan çevresel sorunların çözümüne kadar geniş bir uygulama potansiyeline sahiptir. Bununla birlikte, hızla artan kullanımı, önemli çevresel etkilerin ortaya çıkmasına yol açmaktadır. Bu çalışma, yapay zekanın çevresel etkilerinden enerji tüketimi, karbon emisyonları, su kullanımı ve elektronik atık konuları çerçevesinde mevcut literatürü derleyerek kapsamlı bir şekilde analiz etmeyi ve bu etkilerin azaltılmasına yönelik sürdürülebilir stratejiler geliştirmeyi amaçlamaktadır.Çalışmada ayrıca, enerji verimliliğine dayalı algoritmaların geliştirilmesi, yenilenebilir enerji kaynaklarının entegrasyonu, şeffaf karbon raporlaması ve sürdürülebilir tasarım yaklaşımları gibi stratejik müdahaleler değerlendirilmiştir. Bu analizler, yapay zekanın çevresel maliyetlerinin azaltılmasının yalnızca teknolojik yeniliklerle değil, aynı zamanda politika geliştirme, düzenlemeler ve paydaşlar arası iş birliği ile mümkün olduğunu ortaya koymaktadır. Bulgular, yapay zekanın çevresel etkilerinin etkin bir şekilde yönetilmesi durumunda, teknolojik ilerlemenin çevresel sürdürülebilirlikle uyumlu bir şekilde sağlanabileceğini göstermektedir. Çalışma, gelecekteki araştırmalar ve politika geliştirme süreçleri için temel bir çerçeve sunmakta ve yapay zekanın sürdürülebilirlik odaklı bir yaklaşımla geliştirilmesi gerektiğini vurgulamaktadır.

Keywords

Yapay zeka çevresel sürdürülebilirlik karbon ayak izi enerji tüketimi su kullanımı elektronik atık

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There are 86 citations in total.

Details

Primary Language Turkish
Subjects Energy Systems Engineering (Other)
Journal Section Review Paper
Authors

Tülay Turan 0000-0002-0888-0343

Gökhan Turan 0000-0002-9698-8986

İbrahim Kırbaş 0000-0002-5560-638X

Early Pub Date June 13, 2025
Publication Date
Submission Date January 9, 2025
Acceptance Date May 6, 2025
Published in Issue Year 2025 Volume: 7 Issue: 2

Cite

APA Turan, T., Turan, G., & Kırbaş, İ. (2025). Yapay zekanın çevresel ayak izi: Enerji, su ve elektronik atık üzerine çok yönlü bir analiz. Uluslararası Mühendislik Tasarım Ve Teknoloji Dergisi, 7(2), 78-89.