| Peer-Reviewed

Harnessing Artificial Intelligence to Accelerate Sustainable Development for the Planet

Published in Advances (Volume 3, Issue 3)
Received: 14 August 2022    Accepted: 5 September 2022    Published: 29 September 2022
Views:       Downloads:
Abstract

Because digital transformation is one of the main pillars to achieve the Egypt's Vision 2030, we seek to harness technologies and artificial intelligence to serve all different sectors, enable digital transformation in Egypt, and achieve many national digital achievements through a digital perspective that reflects our next vision. Artificial intelligence plays a key role in making radical progress in various sectors and keeping pace with the progress and development of the world. Artificial intelligence works by combining large amounts of data and intelligent algorithms, allowing the program to automatically learn from patterns. Artificial intelligence is a broad field of study encompassing many theories, methods, and techniques, as well as subfields such as machine learning, computer vision, natural language processing, and others. Artificial intelligence has the ability to accelerate global efforts to protect the environment and conserve resources, as it has the great capabilities inherent in collecting and analyzing data to help combat climate change, as machine learning can be used to improve energy generation methods, and regulate the process of demand for it, with a focus on the use of renewable energy, In addition to deploying sensors and smart meters inside buildings to collect data, monitor and analyze and improve energy use inside buildings. The use of artificial intelligence to preserve environmental diversity, where artificial intelligence connected to satellites can detect changes in land use, monitor vegetation cover, predict natural disasters, monitor, and analyze their effects, and can monitor alien (invasive) species of organisms that may threaten a specific environmental area such as Environmental reserves, identification, tracking, and elimination using machine learning.

Published in Advances (Volume 3, Issue 3)
DOI 10.11648/j.advances.20220303.23
Page(s) 132-139
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), 2022. Published by Science Publishing Group

Keywords

Artificial Intelligence, Applications, Sustainable Development, Climate Challenges, Egypt

References
[1] Flasiński, M. (2016). Introduction to artificial intelligence. Switzerland: Springer International Publishing.‏
[2] Fetzer, J. H. (1990). What is Artificial Intelligence?. In Artificial Intelligence: Its Scope and Limits (pp. 3-27). Springer, Dordrecht.‏
[3] Jackson, P. C. (2019). Introduction to artificial intelligence. Courier Dover Publications.‏
[4] Nilsson, N. J. (1982). Principles of artificial intelligence. Springer Science & Business Media.‏
[5] Brynjolfsson, E., & Mcafee, A. N. D. R. E. W. (2017). Artificial intelligence, for real. Harvard business review, 1, 1-31.‏
[6] Ginsberg, M. (2012). Essentials of artificial intelligence. Newnes.‏
[7] Cohen, P. R., & Feigenbaum, E. A. (Eds.). (2014). The handbook of artificial intelligence: Volume 3 (Vol. 3). Butterworth-Heinemann.‏
[8] Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2018). Brain intelligence: go beyond artificial intelligence. Mobile Networks and Applications, 23 (2), 368-375.‏
[9] Mitchell, R., Michalski, J., & Carbonell, T. (2013). An artificial intelligence approach. Machine learning. Berlin, Heidelberg: Springer.‏
[10] Agrawal, A., Gans, J., & Goldfarb, A. (2017). What to expect from artificial intelligence.‏
[11] Bond, A. H., & Gasser, L. (Eds.). (2014). Readings in distributed artificial intelligence. Morgan Kaufmann.‏
[12] Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96 (1), 108-116.‏
[13] Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. The International Journal of Management Education, 18 (1), 100330.‏
[14] 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.‏
[15] Liengpunsakul, S. (2021). Artificial intelligence and sustainable development in China. The Chinese Economy, 54 (4), 235-248.‏
[16] Truby, J. (2020). Governing artificial intelligence to benefit the UN sustainable development goals. Sustainable Development, 28 (4), 946-959.‏
[17] Duvnjak, K., Gregorić, M., & Gorše, M. (2020). Sustainable development–an artificial intelligence approach. Management Research and Practice, 12 (4), 18-28.‏
Cite This Article
  • APA Style

    Abeer Mohamed Abd El Razek Youssef. (2022). Harnessing Artificial Intelligence to Accelerate Sustainable Development for the Planet. Advances, 3(3), 132-139. https://doi.org/10.11648/j.advances.20220303.23

    Copy | Download

    ACS Style

    Abeer Mohamed Abd El Razek Youssef. Harnessing Artificial Intelligence to Accelerate Sustainable Development for the Planet. Advances. 2022, 3(3), 132-139. doi: 10.11648/j.advances.20220303.23

    Copy | Download

    AMA Style

    Abeer Mohamed Abd El Razek Youssef. Harnessing Artificial Intelligence to Accelerate Sustainable Development for the Planet. Advances. 2022;3(3):132-139. doi: 10.11648/j.advances.20220303.23

    Copy | Download

  • @article{10.11648/j.advances.20220303.23,
      author = {Abeer Mohamed Abd El Razek Youssef},
      title = {Harnessing Artificial Intelligence to Accelerate Sustainable Development for the Planet},
      journal = {Advances},
      volume = {3},
      number = {3},
      pages = {132-139},
      doi = {10.11648/j.advances.20220303.23},
      url = {https://doi.org/10.11648/j.advances.20220303.23},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.advances.20220303.23},
      abstract = {Because digital transformation is one of the main pillars to achieve the Egypt's Vision 2030, we seek to harness technologies and artificial intelligence to serve all different sectors, enable digital transformation in Egypt, and achieve many national digital achievements through a digital perspective that reflects our next vision. Artificial intelligence plays a key role in making radical progress in various sectors and keeping pace with the progress and development of the world. Artificial intelligence works by combining large amounts of data and intelligent algorithms, allowing the program to automatically learn from patterns. Artificial intelligence is a broad field of study encompassing many theories, methods, and techniques, as well as subfields such as machine learning, computer vision, natural language processing, and others. Artificial intelligence has the ability to accelerate global efforts to protect the environment and conserve resources, as it has the great capabilities inherent in collecting and analyzing data to help combat climate change, as machine learning can be used to improve energy generation methods, and regulate the process of demand for it, with a focus on the use of renewable energy, In addition to deploying sensors and smart meters inside buildings to collect data, monitor and analyze and improve energy use inside buildings. The use of artificial intelligence to preserve environmental diversity, where artificial intelligence connected to satellites can detect changes in land use, monitor vegetation cover, predict natural disasters, monitor, and analyze their effects, and can monitor alien (invasive) species of organisms that may threaten a specific environmental area such as Environmental reserves, identification, tracking, and elimination using machine learning.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Harnessing Artificial Intelligence to Accelerate Sustainable Development for the Planet
    AU  - Abeer Mohamed Abd El Razek Youssef
    Y1  - 2022/09/29
    PY  - 2022
    N1  - https://doi.org/10.11648/j.advances.20220303.23
    DO  - 10.11648/j.advances.20220303.23
    T2  - Advances
    JF  - Advances
    JO  - Advances
    SP  - 132
    EP  - 139
    PB  - Science Publishing Group
    SN  - 2994-7200
    UR  - https://doi.org/10.11648/j.advances.20220303.23
    AB  - Because digital transformation is one of the main pillars to achieve the Egypt's Vision 2030, we seek to harness technologies and artificial intelligence to serve all different sectors, enable digital transformation in Egypt, and achieve many national digital achievements through a digital perspective that reflects our next vision. Artificial intelligence plays a key role in making radical progress in various sectors and keeping pace with the progress and development of the world. Artificial intelligence works by combining large amounts of data and intelligent algorithms, allowing the program to automatically learn from patterns. Artificial intelligence is a broad field of study encompassing many theories, methods, and techniques, as well as subfields such as machine learning, computer vision, natural language processing, and others. Artificial intelligence has the ability to accelerate global efforts to protect the environment and conserve resources, as it has the great capabilities inherent in collecting and analyzing data to help combat climate change, as machine learning can be used to improve energy generation methods, and regulate the process of demand for it, with a focus on the use of renewable energy, In addition to deploying sensors and smart meters inside buildings to collect data, monitor and analyze and improve energy use inside buildings. The use of artificial intelligence to preserve environmental diversity, where artificial intelligence connected to satellites can detect changes in land use, monitor vegetation cover, predict natural disasters, monitor, and analyze their effects, and can monitor alien (invasive) species of organisms that may threaten a specific environmental area such as Environmental reserves, identification, tracking, and elimination using machine learning.
    VL  - 3
    IS  - 3
    ER  - 

    Copy | Download

Author Information
  • Faculty of Graduate Studies for Statistical Research, Econometrics of Statistical Department, Cairo University, Giza, Egypt

  • Sections