Role of Artificial Intelligence in Combating Climate Change: The Green Algorithm

Title

Role of Artificial Intelligence in Combating Climate Change: The Green Algorithm

Creator

Pandey, Ananya; Joseph, Jipson

Description

In a globalized tech-driven world, Artificial intelligence (AI) is a powerful weapon, providing pathways to reduce climate change. AI has a wide range of applications against climate change, including predictive analytics, environmental monitoring, and energy management. AI improves predictive analytics, providing information about disaster relief and climatic trends. Cutting-edge models anticipate extreme weather, rising sea-levels, and climate-related phenomena, enabling governments and communities to plan better for the society. AI-driven simulations help with urban planning and creation of climate resilient infrastructure. Application of AI in climate action confronts obstacles despite its potential. Important issues include algorithmic bias, privacy, and effects of computing on environment. To ensure AIs constructive contribution without unexpected consequences and addressing abovementionedconcerns requires strong governance frameworks, ethicalconsiderations, and ongoing research. This chapter examines how AI transforms climate action and enhances environmental preservation. Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.

Source

Use and Abuse of AI in Warfare, Human Development, and Social Justice;pp.235-255

Date

01-01-2025

Publisher

IGI Global Scientific Publishing

Coverage

Pandey A., Christ University, Bangalore, India; Joseph J., Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-836938868-6; 979-836938866-2; 979-836938867-9;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3693-8866-2.ch011

https://www.scopus.com/pages/publications/105039997340?origin=resultslist