Harnessing the Power of Artificial Intelligence in Climate Change Mitigation: Opportunities and Challenges for Public Health

1 Department of Research and Education, Oli Health Magazine Organization, Kigali, Rwanda.
2 Department of Health and Research, Youth Health Action Network, Douala, Cameroon.
3 Department of Microbiology, Immunology and Hematology; Faculty of medicine and Pharmaceutical Sciences, University of Dschang, Dschang, Cameroon.
4 Department of Innovation and Knowledge Dissemination, Bisons’ Scholars.
5 Department of General Medicine, Université Evangélique en Afrique, Democratic Republic of Congo.
6 Department of Electronics and Electrical Engineering, College of Technology, University of Buea, Buea, Cameroon.
* Corresponding author. Email: andigemaangyibaserge@gmail.com (A.S.A.); ngnokamcyrielle@gmail.com (N.N.T.C.)
Manuscript submitted March 15, 2024; revised June 26, 2024; accepted July 1, 2024.

Abstract—Harnessing the Potential of Artificial Intelligence for Climate Change Mitigation and Public Health: Advancements and Challenges Artificial Intelligence (AI) has emerged as a valuable tool in addressing the challenges of climate change and its effects on public health. By utilizing its capabilities in analyzing climatic patterns, AI presents opportunities to better manage resources and develop effective strategies for mitigating climate change. Additionally, AI can aid in creating sustainable solutions that address the intricate nature of climate change, such as optimizing energy consumption and integrating renewable energy sources. Furthermore, AI can assist in developing climate models for accurate predictions, enabling proactive measures for disaster preparedness and response. AI-powered disease surveillance techniques can also improve public health outcomes by identifying patterns in disease spread relative to climate factors.
Nevertheless, the widespread implementation of AI-based solutions comes with its own set of challenges. Ethical concerns surrounding privacy and data ownership must be addressed, as AI necessitates access to vast datasets, potentially raising privacy risks. Technical limitations, such as computational power constraints and the need for complex algorithms, may impede the integration of AI into climate change mitigation strategies. Furthermore, addressing issues concerning the accessibility and affordability of AI technologies is essential for ensuring fair distribution and maximizing its public health impact.
To fully leverage AI's potential in combating climate change and enhancing public health, it is crucial to encourage innovation, foster cross-disciplinary collaboration, and promote open data science practices. Innovation can drive the creation of new AI technologies and algorithms tailored specifically for addressing climate change issues. Collaborative efforts involving experts from various fields like climate science, public health, and computer science can enhance our understanding of intricate systems and facilitate the development of comprehensive solutions. Additionally, embracing open data science practices, such as sharing data and algorithms, can promote collaboration and expedite progress in mitigating climate change and its consequences on public health.
In conclusion, AI presents promising prospects for effectively addressing climate change and its effects on public health. Overcoming ethical concerns, technical hurdles, and issues of accessibility and affordability are imperative for realizing the full potential of AI in these areas. By championing innovation, enabling interdisciplinary collaboration, and advocating for open data science, we can unlock the transformative power of AI in combating climate change and enhancing public health outcomes.

keywords—Artificial intelligence, climate change, public health, analysis, prediction.

Cite: Angyiba Serge Andigema, Ngnotouom Ngnokam Tania Cyrielle, Mafo Kamga Lethicia Danaëlle, Ewane Ekwelle"Harnessing the Power of Artificial Intelligence in Climate Change Mitigation: Opportunities and Challenges for Public Health," Journal of Advances in Artificial Intelligence vol. 2, no. 2, pp. 165-172, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).