| Abstract |
Artificial Intelligence (AI) has grown and taken up challenging environmental issues. This technology helps accomplish sustainable development goals by helping us develop more effectively, use resources more sustainably and efficiently reduce waste and manage. Sustainable AI must be adapted to cater to the unique circumstances of each culture. The proper protections and procedures must be in place for AI systems, given the need for vast data to train the system. It has extensive applications for anything from ocean monitoring to climate change prediction modeling because of its skills in data processing. AI, Machine Learning (ML) and Robotic Process Automation (RPA) have helped these sectors survive with fewer people and varied limits, all while keeping prices low. Digital transformation is a culture, organization, and operations shift to increase customer value. This paper examines AI's role in developing a sustainable environment. Primary goals and sustainable AI activities that contribute to sustainability are briefly covered. Finally, key applications of AI to sustainability were identified and explored. AI is transforming how we think, act, learn, and, of course, construct. It offers the potential to quickly identify inefficiencies and chances to boost productivity and sustainability across sectors. The building and construction sector needs to adopt AI into its routine procedures more than other sectors. With proper usage of AI, one may achieve increased output, simplify work, and eliminate inefficiencies so the staff can stay focused. AI can accomplish sustainable objectives when used appropriately and with sustainability at the center of its development. |