McNair Scholars Research Journal
Abstract
Artificial Intelligence (AI) is swiftly transforming the world, yet its environmental impact is often unknown. Training AI models, deploying AI models, and storing large volumes of AI’s data in data centers all contribute to both positive and negative environmental outcomes. While many studies highlight the benefits of AI, there are also a few that address how AI’s widespread use results in unsustainable environmental impacts. This literature review investigates the negative environmental impacts of AI, including environmental degradation, increased energy consumption, and carbon emissions. From the rise of unpredictable weather and natural disasters, to the melting of icebergs, the impact of AI on the environment is significant. Especially given the growing need to promote environmental cleanliness and ecological quality, increasing awareness of AI’s adverse effects on the living and natural environment is essential. AI not only impacts human environments but it also poses risks to the ecosystems and the habitats of surrounding wildlife. Many individuals are not aware of AI’s environmental impact and the myth that there are not many solutions to combat this impact. By examining previous studies, academic journals, and research articles this paper explores the structure of AI, its energy demands, its environmental footprint, the myth of this footprint, and sustainable strategies to mitigate AI’s environmental impact.