Climate change and artificial intelligence: opportunities and challenges

Yıl 2023, , 74 - 94, 30.06.2023

Çiğdem Tuğaç

https://doi.org/10.17218/hititsbd.1240744

Öz

Climate change is an important problem that defines our era. The negative effects of climate change bring important social, economic, and environmental consequences. Today, the use of artificial intelligence in combating these problems is increasing and there are many applications in different fields. The two most important strategies in combating climate change defined by the United Nations are greenhouse gas mitigation and adapting to the existing and potential impacts of climate change. The use of artificial intelligence offers important opportunities to decision makers and researchers in order to develop existing understanding and practices in the field of both greenhouse gas mitigation and adaptation, and to identify different perspectives and strategies. However, artificial intelligence systems also create new social and ethical problems in these processes and cause a significant increase in greenhouse gas emissions. This makes the use of artificial intelligence one of the factors that cause harm to human health and all living things by exacerbating climate change. The aim of this study is to evaluate the opportunities and problems created by artificial intelligence within the scope of combating climate change. As a result of the study, it has been concluded that the use of artificial intelligence will significantly support climate change combat and adaptation activities if it can be managed in the context of energy use, environmental effects, and carbon footprint and ethically.

Anahtar Kelimeler

Climate Change, Artificial İntelligence, Machine Learning, Greenhouse Gas Mitigation, Adaptation

İklim değişikliği ve yapay zekâ: fırsatlar ve sorunlar

Öz

İklim değişikliği çağımızı tanımlayan önemli bir sorundur. İklim değişikliğinin olumsuz etkileri önemli sosyal, ekonomik ve çevresel sonuçları beraberinde getirmektedir. Söz konusu sonuçlarla mücadele edilmesinde günümüzde yapay zekâ kullanımı giderek artmaktadır ve farklı alanlarda pek çok uygulama söz konusudur. Birleşmiş Milletler tarafından iklim değişikliğiyle mücadelede en önemli iki strateji; sera gazı azaltımı ve iklim değişikliğinin halihazırda ortaya çıkan ve çıkması muhtemel etkilerine uyum sağlanması olarak belirtilmektedir. Yapay zekâ kullanımı hem sera gazı azaltımı hem de uyum alanında mevcut anlayışın ve uygulamaların geliştirilmesi ve farklı bakış açılarının ve stratejilerin belirlenmesi doğrultusunda karar vericilere ve araştırmacılara önemli fırsatlar sunmaktadır. Ancak yapay zekâ sistemleri bir yandan da bu süreçlerde yeni sosyal ve etik sorunlar ortaya çıkartmakta ve sera gazı emisyonlarında önemli artışa da neden olmaktadır. Bu ise yapay zekâ kullanımını, iklim değişikliğini şiddetlendirerek insan sağlığının ve tüm canlıların zarar görmesine neden olan etkenlerden biri haline getirmektedir. Bu çalışmanın amacı, yapay zekânın iklim değişikliğiyle mücadele kapsamında ortaya çıkardığı fırsatların ve sorunların değerlendirilmesidir. Çalışma sonucunda, yapay zekâ kullanımının enerji kullanımı, çevresel etkiler ve karbon ayak izi bağlamlarında ve etik açıdan iyi bir biçimde yönetilebilmesi halinde iklim değişikliğiyle mücadele ve uyum faaliyetlerini önemli ölçüde desteklediği sonucu elde edilmiştir.

Anahtar Kelimeler

İklim Değişikliği, Yapay Zekâ, Makine Öğrenmesi, Sera Gazı Azaltımı, Uyum

Kaynakça

• Avrupa Birliği (AB) Bakanlığı, (2021). Temel AB terimleri. Erişim adresi: https://www.ab.gov.tr/files/rehber/10_rehber.pdf
• Acton, M., Bertoldi, P. ve Booth, J. (2022). 2022 Best practice guidelines for the EU code of conduct on data centre energy efficiency. Ispra: European Commission.
• Beardmore, A. (2022, 29 Ağustos). Can machine learning help tackle climate change? Earth. Erişim adresi: https://earth.org/machine-learning-climate-change/#:~:text=Machine%20learning%20can%20tackle%20climate,predicting%20energy%20supply%20and%20demand
• Climate Change AI (CCAI) (2022). Erişim adresi: https://www.climatechange.ai/
• Clutton-Brock, P., Rlnick, D., Donti, P., Kaack, L. H., Maharaj, T., Luccioni, A. ve Das, H. P. (2021). Climate change and AI: Recommendations for government action. Global Partnership on AI Report.
• Cowls, J., Tsamados, A., Taddeo, M. ve Floridi, L. (2023). The AI gambit: leveraging artifcial intelligence to combat climate change—opportunities, challenges, and recommendations. AI & Society, 38(2023), 283-307. doi: 10.1007/s00146-021-01294-x
• Dhar, P. (2020). The carbon impact of artificial intelligence. Nature Machine Intelligence, 2(2020), 423-425. doi: 10.1038/s42256-020-0219-9
• Ekin, A. (2019, 12 Eylül). AI can help us fight climate change. But it has an energy problem, too. European Commission. Erişim adresi: https://ec.europa.eu/research-and-innovation/en/horizon-magazine/ai-can-help-us-fight-climate-change-it-has-energy-problem-too
• European Commission (EC). (2020, 19 Şubat). White paper on artificial intelligence: A European approach to excellence and trust. COM(2020) 65 final. Brussels: European Commission.
• European Commission (EC). (2022a, Aralık 14). Destination earth. Erişim adresi: https://digital-strategy.ec.europa.eu/en/policies/destination-earth
• European Commission (EC). (2022b, Haziran 14). The green data centre that became a sustainability champion. Erişim adresi: https://joint-research-centre.ec.europa.eu/jrc-news/green-data-centre-became-sustainability-champion-video-interview-2022-07-14_en
• Evans, S. (2021, 10 Ekim). Historical responsibility for climate change is at the heart of debates over climate justice. Carbonbrief. Erişim adresi: https://www.carbonbrief.org/analysis-which-countries-are-historically-responsible-for-climate-change/
• Filho, W. L., Wall, T., Afonso, S., Mucova, R., Nagy, G. J., Balogun, A., … Gandhi, O. (2022). Deploying artificial intelligence for climate change adaptation. Technological Forecasting and Social Change, 180(2022), 121662. doi: 10.1016/j.techfore.2022.121662
• Google. (2022). AI for social good. Google. Erişim adresi: https://ai.google/social-good/
• Hao, K. (2019, 6 Haziran). Training a single AI model can emit as much carbon as five cars in their lifetimes. MIT Technology Review. Erişim adresi: https://www.technologyreview.com/2019/06/06/239031/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/
• Intergovernmental Panel on Climate Change (IPCC) (2021). Climate change 2021: the physical science basis. Contribution of working group I to the sixth assessment report of the ıntergovernmental panel on climate change. Cambridge, New York: Cambridge University Press. doi:10.1017/9781009157896
• Intergovernmental Panel on Climate Change (IPCC) (2022a). Climate change 2022: impacts, adaptation, and vulnerability. Contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change. Cambridge, New York: Cambridge University Press. doi:10.1017/9781009325844
• Intergovernmental Panel on Climate Change (IPCC) (2022b). Climate change 2022: mitigation of climate change. Contribution of working group III to the sixth assessment report of the ıntergovernmental panel on climate change. Cambridge, New York: Cambridge University Press. doi: 10.1017/9781009157926
• Intergovernmental Panel on Climate Change (IPCC) (2023). Synthesis report of the IPCC sıxth assessment report (ar6) summary for policy makers. IPCC. Erişim adresi: https://www.ipcc.ch/report/ar6/syr/downloads/report/IPCC_AR6_SYR_SPM.pdf
• Kaack, L. H., Donti, P. L., Strubell, E., Kamiya, G., Creutzig, F. ve Rolnick, D. (2022). Aligning artificial intelligence with climate change mitigation. Nature Climate Change, 12, 518-527. doi: 10.1038/s41558-022-01377-7
• Kumar, A. (2022, 3 Temmuz). Data Analytics: machine learning use cases for climate change. Vitalflux. Erişim adresi: https://vitalflux.com/machine-learning-use-cases-climate-change/
• Maher, H., Meinecke, H., Gromier, D., Garcia-Novelli, M. ve Fortmann, R. (2022). How AI can be a powerful tool in the fight against climate change. Web Assets. Erişim adresi: https://web-assets.bcg.com/ff/d7/90b70d9f405fa2b67c8498ed39f3/ai-for-the-planet-bcg-report-july-2022.pdf
• McGill (2022, 28 Haziran). Is AI good or bad for the climate? It’s complicated. McGill. Erişim adresi: https://www.mcgill.ca/newsroom/channels/news/ai-good-or-bad-climate-its-complicated-340039
• Met Office (2022). Climate science for service partnership China. Erişim adresi: https://www.metoffice.gov.uk/research/approach/collaboration/newton/climate-science-for-service-partnership-china
• Microsoft (2022). AI for earth. Microsoft. Erişim adresi: https://www.microsoft.com/en-us/ai/ai-for-earth
• Neslen, A. (2022, Ağustos 5). How can artificial intelligence help fight climate change? Thomson Reuters Foundation. Erişim adresi: https://www.context.news/nature/how-can-artificial-intelligence-help-fight-climate-change
• Nordgren, A. (2022). Artificial intelligence and climate change: ethical issues. Journal of Information, Communication and Ethics in Society, 21(1), 1-15. doi: 10.1108/JICES-11-2021-0106
• Organisation for Economic Co-operation and Development (OECD) (2022). Measuring the environmental impacts of AI compute and appliations: the AI footprint. OECD.
• Rapaport, W. J. (2020). What is artificial intelligence? Journal of Artificial General Intelligence, 11(2), 52-56. doi: 10.2478/jagi-2020-0003
• SEED. (2022). Climate change adaptation. Erişim adresi: https://seed.uno/topics/adaptation
• Stein, A. L. (2020). Artificial intelligence and climate change. Yale Journal on Regulation; New Haven, 37(3), 890-939. Erişim adresi: https://openyls.law.yale.edu/bitstream/handle/20.500.13051/8313/05_Stein_Article._Final.pdf?sequence=2
• United Nations Environment Programme (UNEP). (2022, 7 Kasım). How artificial intelligence is helping tackle environmental challenges. UNEP. Erişim adresi: https://www.unep.org/news-and-stories/story/how-artificial-intelligence-helping-tackle-environmental-challenges
• United Nations Framework Convention on Climate Change (UNFCCC) (1992). United Nations Framework Convention on Climate Change. UNFCCC.
• United Nations Framework Convention on Climate Change (UNFCCC) (2015). Paris Agreement. Paris: UNFCCC.
• Van den Bergh, T. (2022, 22 Kasım). How artificial intelligence can help us prepare for climate adaptation. WEF. Erişim tarihi: https://www.weforum.org/agenda/2022/11/how-artificial-intelligence-can-prepare-us-for-climate-adaptation/#:~:text=It%20enables%20interactive%20mapping%20of,strategies%20for%20sustainable%20forest%20management
• World Economic Forum (WEF) (2022). FireAId-AI to predict and fight wildfires. WEF. Erişim adresi: https://www.weforum.org/projects/fireaid-ai-to-predict-and-fight-wildfires