Exploring Artificial Intelligence in Sustainability: A Bibliometric Analysis

Abstract

The internet is becoming more and more important for both regular people and big companies. In 2019, online reports indicated that the global internet user count surpassed 4.13 billion, indicating that over half of the world's population was connected to the internet. There is a pressing need for innovative solutions to the increasing global challenges of degradation of the environment, climate change, depletion of resources, and social inequality. Recent research shows that the use of big data analytics and other AI technologies can improve sustainable development. In this paper, we explore the use of Artificial Intelligence in sustainability. We use bibliometric analysis using Secondary Scopus data and reviewed more than 428 research articles, book chapters, conference papers, we find that AI has the potential to improve sustainability results by providing more effective solutions to existing issues. The results suggest that AI can reduce energy consumption, improve resource utilization, improve production process efficiency, and provide better environmental management decision-making tools. We created a structured time frame and shown through graphical representation. We also suggest that further research should be conducted to develop strategies for incorporating AI into sustainable development efforts.