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Journal of International Technology and Information Management

Document Type

Article

Abstract

Environmental sustainability is one of the most important and complex issues currently facing our global society. One solution to some aspects of this problem could come from artificially intelligent systems and data analytics methods. The objective for this study is to identify the range of recently published research that addresses issues involving the convergence of artificial intelligence (AI) and environmental sustainability. A systematic literature review produced a sample of 62 journal articles from 2018-2024 that were each categorized into one of six research themes that included studies of AI and the ways in which it impacted natural resources, energy and waste management, manufacturing and supply chain management, policy and governance, UN sustainable development goals, and public attitudes. Each identified study was reviewed within its category and the findings provide a description of the current relationship between AI and environmental sustainability along with directions for future research. In some studies, AI methods are used for analysis of large data sets to identify the factors that impact environmental sustainability outcomes. In other studies, they looked at strategies and regulations that enable effective AI use. Studies also note that AI can produce negative outcomes due to increased energy demand, potential for perpetuating bias in decision models, and violation of individual privacy rights.

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