The Environmental Impacts of AI and Digital Technologies

Abstract

This study aims to investigate the environmental impacts of AI and digital technologies, identify potential mitigation strategies, and assess the role of policy, regulation, and public awareness in fostering sustainable practices within this domain. Employing a qualitative research methodology, this study collected data through semi-structured interviews with 27 professionals across the technology sector, environmental research, policy-making, and academia. Thematic analysis was used to analyze the interview transcripts, allowing for the identification of main themes and categories related to the environmental impacts of AI and digital technologies and the exploration of potential mitigation strategies. Five main themes emerged from the analysis: Direct Environmental Impact, Mitigation Strategies, Technological Innovations, Policy and Regulation, and Public Awareness and Engagement. Each theme encompasses various categories and concepts, such as Energy Consumption, E-Waste, Renewable Energy Adoption, Sustainable Design, Energy-Efficient Hardware, Legislation and Standards, Educational Campaigns, and Digital Literacy. The findings highlight the complex and multifaceted nature of AI and digital technologies' environmental impacts, along with the crucial role of innovative mitigation strategies and comprehensive policy frameworks in addressing these challenges. The study concludes that while AI and digital technologies offer tremendous potential for advancing sustainable development, their deployment must be carefully managed to minimize negative environmental impacts. It underscores the importance of integrating sustainability considerations into the development and deployment of these technologies, alongside fostering robust policy and regulatory frameworks and enhancing public awareness and engagement to achieve a sustainable digital future.