AI/ML Models With the Framework of Sustainability: A Comprehensive Study on Environmental, Social, and Economic Factors

Reshaping of modern society artificial intelligence and machine learning continue to play vital roles in ecofriendly, social, & economic sustainability. This research paper presents a laborious comparative study that investigates into the sustainability aspects of various AI/ML models. In this paper methodology involves a complete investigation of environmental factors, including energy consumption, carbon emissions, economic factors focusing on cost-effectiveness resource competence. Researcher analyzed data from a various set of models, a range of sources, and apply comparative study for measure their sustainability performance. The study on valuable insights into sustainability in different AI/ML models off on their strengths and weaknesses. The context of environmental protection, social responsibility, and economic capability. Researcher discuss the ethical implications and potential margins connected, contributes and deep understanding of the opportunities in the AI/ML technologies with sustainable approach.