Aligning Artificial Intelligence with Climate Change Adaptation in Egypt

Authors

lara mohamed abdelrazik Ms., Future University in EgyptFollow

Abstract

Abstract:

One of the frequently witnessed barriers to accelerating action on climate change is related to the construction of data bases, variables, and models as well as data extraction. According to the Grantham Research Institute on climate change and the environment, several subfields of Artificial Intelligence identify patterns to support the completion of specific tasks towards combating climate change such as; gathering, completing, and interpreting large, and complete datasets by making it possible to enhance data-driven decision-making for climate action. However, the negative side of AI was also recognized.

Learning algorithms to understand how AI’s climate impact goes beyond its emissions and how technological advancements facilitates the process of combating climate change, examining the confluence between AI and climate change and the positive and negative implications of using high level of technology and its carbon effects are essential in this study .This paper will conduct the qualitative analysis method through relying on secondary data sources such as; reports on climate change and AI, national academies press, theories including; Meso, Micro, and Macro theories, gathering data from Ministry of Communication and Information Technology, Ministry of Environment, as well as taking into consideration the importance of using declarations of ethical principles in relation to climate change. Presenting a comprehensive point of view regarding the negative and positive effects of using Artificial Intelligence to combat Climate Change in Egypt. This paper argues that Artificial Intelligence has an effect on climate change globally.

Recommended Citation

abdelrazik, lara mohamed Ms. (2024) "Aligning Artificial Intelligence with Climate Change Adaptation in Egypt," Future Journal of Social Science: Vol. 3: Iss. 2, Article 5.
Available at: https://digitalcommons.aaru.edu.jo/fjss/vol3/iss2/5