A Review of the Good and Bad of AI for the Environment: Decarbonizing AI

Sustainability is a long-term commitment. Businesses must measure their environmental impact regularly if they wish to be environmentally friendly in the long run. Determining true ecological impact is difficult, making it ideal for AI. However, AI also has a substantial carbon footprint, which will only increase if current trends continue. Artificial intelligence could become an adversary in the fight against climate change in the coming years unless we analyse and adjust the current AI research programme. Given the daily effects of climate change, there is a growing understanding that AI research ethics must focus on limiting and offsetting the study's carbon footprint. Researchers should mention the energy costs in their research paper results alongside time, accuracy, and other aspects. Environmental sustain ability must be emphasised with varied ethical approaches to AI, lest carbon emissions continue to rise, causing harm to both people and the environment.