Role of Artificial Intelligence in Minimizing Carbon Footprint: A Systematic Review of Recent Insights

The artificial intelligence (AI) has been a platform of immense assistance to develop and simplify discoveries in medical science. However, the environmentalist have been researching this concept to benefit the environment to establish multidimensional discoveries of clean energy. An increase in greenhouse gases (GHGs) is caused by most human developmental activities. Direct or indirect emission of GHGs by person, group, event, or any other activity contributes to the carbon footprint. According to the Environmental Protection Agency, USA, major sources of increasing GHGs are transportation (29%), electricity (28%), industry (22%), commercial and residential (12%), and agriculture (9%). Vigorous effects are required to control the increasing GHGs by developing and implementing policies and utilizing new technologies. In this time of challenges presented by climate change, technological advancements in artificial intelligence (AI) or digital assistance have made a significant impact on people’s lifestyles. AI-based technologies to monitor, predict, and reduce GHGs emissions may help in a cleaner environment. This article aims to describe different AI-based approaches to minimize carbon footprints as well as discuss the role of AI in various industries and its economic and societal outcomes. Specifically, we have attempted to fill the research gaps by investigating existing opportunities in the field of AI toward reducing GHG emissions.