Concerning the transformative nature of AI in facilitating responses to
climate change and the persistence of sustainable development, it is essential to note
that environmental challenges are progressively worsening everywhere around the
globe. One of the primary instruments that offers promise is AI, which can
revolutionize our attitude towards sustainability by providing an overview of AI-led
solutions that optimize resource management, enhance energy efficiency, and make
data-driven decision-making possible across sectors. Within this chapter, the reader
will be able to contrast practical applications of AI technologies, such as precision
techniques in agriculture that avoid waste, using maximum renewable energy through
smart grids, and low-emitting systems through intelligent transportation. Each case
study will help the reader understand how AI successfully mitigated environmental
impacts and further spurred sustainable practices. In line with this objective, the
chapter discusses some ethical issues related to the implementation of AI and,
therefore, touches on the problems of data privacy, algorithmic bias, and the call for
openness. Possible hurdles and obstacles arising from technical and infrastructure
demands are identified in such a situation. The chapter tends towards a collaborative
effort by government, industry, and civil society to deal with the challenges presented.
All in all, this work shows the potential integration of intelligent systems into strategies
on climate action, paving the way toward a greener, more sustainable future- all
because of creative solutions and international cooperation.
Keywords: Algorithmic bias, Artificial intelligence (AI), Climate change, Collaborative efforts, Data privacy, Data-driven decision making, Energy efficiency, Environmental impact mitigation, Ethical issues.
