Leveraging AI for Environmental Sustainability and Climate Action

Nusetor Setsofia Kojo *

Department of Computer Science, Takoradi Technical University, Ghana.

Emmanuel Kofi Acquaah

Department of Computer Science, Takoradi Technical University, Ghana.

Ahadjie Bless

Department of Computer Science, Takoradi Technical University, Ghana.

Kelvin Vensu

Department of Computer Science, Takoradi Technical University, Ghana.

Kwadwo Safo

Department of Computer Science, Takoradi Technical University, Ghana.

Djirackor Bernice Adzo

Department of Computer Science, Takoradi Technical University, Ghana.

Richard Essah

Department of Computer Science, Takoradi Technical University, Ghana.

*Author to whom correspondence should be addressed.


Abstract

This research paper explores the intersection of artificial intelligence (AI), computer science, and environmental sustainability. As climate change accelerates, innovative technologies offer promising avenues for mitigation and adaptation. Through a review of existing literature and case studies, this paper highlights the transformative potential of AI in monitoring ecosystems, optimizing energy systems, and enhancing conservation efforts. The findings underscore the importance of interdisciplinary collaboration in harnessing these technologies for sustainable development. It concludes with recommendations for future research and policy directions.

Keywords: Artificial Intelligence, environmental sustainability, climate change mitigation, machine learning, renewable energy, biodiversity conservation, data analysis, ethical implications, interdisciplinary collaboration


How to Cite

Kojo, Nusetor Setsofia, Emmanuel Kofi Acquaah, Ahadjie Bless, Kelvin Vensu, Kwadwo Safo, Djirackor Bernice Adzo, and Richard Essah. 2024. “Leveraging AI for Environmental Sustainability and Climate Action”. Asian Journal of Research in Computer Science 17 (12):30-35. https://doi.org/10.9734/ajrcos/2024/v17i12527.

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