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Artificial Intelligence for the Sustainability of Climate Change

Received: 21 August 2022    Accepted: 3 September 2022    Published: 29 September 2022
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Abstract

The environmental challenge may be the most serious and urgent, given the significant pollution of air, water, and soil, which are the three main components of the ecosystem, with the increase in global warming and climate change that the world is witnessing, which threatens the very existence of man on this earth. AI has the potential to accelerate global efforts to protect the environment and conserve resources by monitoring air pollution and energy emissions, helping develop transportation networks, monitoring deforestation, and forecasting extreme weather. Hence the importance of using the latest technology to combat environmental pollution, leading to the environmental sustainability that countries seek to achieve. As such, the use of AI offers an opportunity to make meaningful change in this critical moment, whether through mitigation, adaptation, and resilience or by supporting the fundamentals of overall climate efforts. As for consumers, they will benefit from AI in the form of improving services, providing recommendations and quality more efficiently, as well as bringing about fundamental and tangible changes in industries such as health care, transportation, and pharmaceuticals in a safer manner. Of course, people's lives will change for the better from the presence of self-driving cars and the expansion of this technology to other means of transportation such as trains, ships, and planes. It is expected that companies will reduce a lot of expenses thanks to artificial intelligence and its applications, which are increasing day after day, as well as the accompanying innovations and new inventions that will strongly affect daily life.

Published in Advances in Sciences and Humanities (Volume 8, Issue 3)
DOI 10.11648/j.ash.20220803.13
Page(s) 62-71
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Artificial Intelligence, Climate Change, Emissions, Agriculture, Epidemics, Disasters

References
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[2] Chakraborty, D., Alam, A., Chaudhuri, S., Başağaoğlu, H., Sulbaran, T., & Langar, S. (2021). Scenario-based prediction of climate change impacts on building cooling energy consumption with explainable artificial intelligence. Applied energy, 291, 116807.‏
[3] Nishant, R., Kennedy, M., & Corbett, J. (2020). Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. International Journal of Information Management, 53, 102104.‏
[4] Cowls, J., Tsamados, A., Taddeo, M., & Floridi, L. (2021). The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations. Ai & Society, 1-25.‏
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[6] Lakshmi, V., & Corbett, J. (2020). How artificial intelligence improves agricultural productivity and sustainability: A global thematic analysis.‏
[7] Xiang, X., Li, Q., Khan, S., & Khalaf, O. I. (2021). Urban water resource management for sustainable environment planning using artificial intelligence techniques. Environmental Impact Assessment Review, 86, 106515.‏
[8] Lahsen, M. (2020). Should AI be designed to save us from ourselves?: artificial intelligence for sustainability. IEEE Technology and Society Magazine, 39 (2), 60-67.‏
[9] Dhar, P. (2020). The carbon impact of artificial intelligence. Nat. Mach. Intell., 2 (8), 423-425.‏
[10] Zhang, P., Guo, Z., Ullah, S., Melagraki, G., Afantitis, A., & Lynch, I. (2021). Nanotechnology and artificial intelligence to enable sustainable and precision agriculture. Nature Plants, 7 (7), 864-876.‏
[11] Camaréna, S. (2020). Artificial intelligence in the design of the transitions to sustainable food systems. Journal of Cleaner Production, 271, 122574.‏
[12] Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S.,... & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11 (1), 1-10.‏
[13] Ortega-Fernández, A., Martín-Rojas, R., & García-Morales, V. J. (2020). Artificial intelligence in the urban environment: Smart cities as models for developing innovation and sustainability. Sustainability, 12 (19), 7860.‏
[14] Brevini, B. (2020). Black boxes, not green: Mythologizing artificial intelligence and omitting the environment. Big Data & Society, 7 (2), 2053951720935141.‏
[15] Berrang-Ford, L., Ford, J. D., & Paterson, J. (2011). Are we adapting to climate change?. Global environmental change, 21 (1), 25-33.‏
[16] Change, I. C. (2014). Mitigation of climate change. Contribution of working group III to the fifth assessment report of the intergovernmental panel on climate change, 1454, 147.‏
[17] Taylor, R. G., Scanlon, B., Döll, P., Rodell, M., Van Beek, R., Wada, Y.,... & Treidel, H. (2013). Ground water and climate change. Nature climate change, 3 (4), 322-329.‏
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Cite This Article
  • APA Style

    Abeer Mohamed Abd El Razek Youssef. (2022). Artificial Intelligence for the Sustainability of Climate Change. Advances in Sciences and Humanities, 8(3), 62-71. https://doi.org/10.11648/j.ash.20220803.13

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    ACS Style

    Abeer Mohamed Abd El Razek Youssef. Artificial Intelligence for the Sustainability of Climate Change. Adv. Sci. Humanit. 2022, 8(3), 62-71. doi: 10.11648/j.ash.20220803.13

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    AMA Style

    Abeer Mohamed Abd El Razek Youssef. Artificial Intelligence for the Sustainability of Climate Change. Adv Sci Humanit. 2022;8(3):62-71. doi: 10.11648/j.ash.20220803.13

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  • @article{10.11648/j.ash.20220803.13,
      author = {Abeer Mohamed Abd El Razek Youssef},
      title = {Artificial Intelligence for the Sustainability of Climate Change},
      journal = {Advances in Sciences and Humanities},
      volume = {8},
      number = {3},
      pages = {62-71},
      doi = {10.11648/j.ash.20220803.13},
      url = {https://doi.org/10.11648/j.ash.20220803.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ash.20220803.13},
      abstract = {The environmental challenge may be the most serious and urgent, given the significant pollution of air, water, and soil, which are the three main components of the ecosystem, with the increase in global warming and climate change that the world is witnessing, which threatens the very existence of man on this earth. AI has the potential to accelerate global efforts to protect the environment and conserve resources by monitoring air pollution and energy emissions, helping develop transportation networks, monitoring deforestation, and forecasting extreme weather. Hence the importance of using the latest technology to combat environmental pollution, leading to the environmental sustainability that countries seek to achieve. As such, the use of AI offers an opportunity to make meaningful change in this critical moment, whether through mitigation, adaptation, and resilience or by supporting the fundamentals of overall climate efforts. As for consumers, they will benefit from AI in the form of improving services, providing recommendations and quality more efficiently, as well as bringing about fundamental and tangible changes in industries such as health care, transportation, and pharmaceuticals in a safer manner. Of course, people's lives will change for the better from the presence of self-driving cars and the expansion of this technology to other means of transportation such as trains, ships, and planes. It is expected that companies will reduce a lot of expenses thanks to artificial intelligence and its applications, which are increasing day after day, as well as the accompanying innovations and new inventions that will strongly affect daily life.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Artificial Intelligence for the Sustainability of Climate Change
    AU  - Abeer Mohamed Abd El Razek Youssef
    Y1  - 2022/09/29
    PY  - 2022
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    T2  - Advances in Sciences and Humanities
    JF  - Advances in Sciences and Humanities
    JO  - Advances in Sciences and Humanities
    SP  - 62
    EP  - 71
    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ash.20220803.13
    AB  - The environmental challenge may be the most serious and urgent, given the significant pollution of air, water, and soil, which are the three main components of the ecosystem, with the increase in global warming and climate change that the world is witnessing, which threatens the very existence of man on this earth. AI has the potential to accelerate global efforts to protect the environment and conserve resources by monitoring air pollution and energy emissions, helping develop transportation networks, monitoring deforestation, and forecasting extreme weather. Hence the importance of using the latest technology to combat environmental pollution, leading to the environmental sustainability that countries seek to achieve. As such, the use of AI offers an opportunity to make meaningful change in this critical moment, whether through mitigation, adaptation, and resilience or by supporting the fundamentals of overall climate efforts. As for consumers, they will benefit from AI in the form of improving services, providing recommendations and quality more efficiently, as well as bringing about fundamental and tangible changes in industries such as health care, transportation, and pharmaceuticals in a safer manner. Of course, people's lives will change for the better from the presence of self-driving cars and the expansion of this technology to other means of transportation such as trains, ships, and planes. It is expected that companies will reduce a lot of expenses thanks to artificial intelligence and its applications, which are increasing day after day, as well as the accompanying innovations and new inventions that will strongly affect daily life.
    VL  - 8
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Author Information
  • Econometrics of Statistical Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt

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