Exploring Sustainable and Green Artificial Intelligence Research Through Integrated Thematic and Topic Modeling

Ekta Verma

doi:10.69968/ijisem.2024v3si2315-322

Authors

Ekta Verma Associate Professor, Department of Commerce & Business Administration, University of Allahabad, Prayagraj, Uttar Pradesh, India

DOI:

https://doi.org/10.69968/ijisem.2024v3si2315-322

Keywords:

Green AI, Environmental Sustainability, Thematic Analysis, Topic Modeling, Responsible Innovation

Abstract

Purpose: The rapid expansion of artificial intelligence (AI) necessitates a concurrent focus on its environmental impact. This research paper aims to delve into the burgeoning field of Green AI by employing integrated thematic and topic modeling analyses to comprehensively examine the existing research landscape. The study seeks to identify key themes, prevalent research trends, and significant knowledge gaps within Green AI.

Research Design: Through a systematic review of relevant literature, the study utilizes advanced analytical methods, including integrated thematic and topic modeling analyses, to synthesize and interpret the current state of Green AI research. This multifaceted approach allows for a thorough examination of diverse applications of AI in promoting environmental sustainability.

Findings: The analysis reveals that AI has wide-ranging applications in promoting environmental sustainability, including enhancing energy efficiency, optimizing resource use, and implementing robust environmental monitoring systems. Additionally, the study highlights the challenges and opportunities inherent in the development and deployment of Green AI. Key challenges include the need for substantial computational resources and the risk of unintended environmental consequences. Opportunities lie in the potential for AI to drive significant advancements in sustainability practices and policies.

Conclusion: This research underscores the crucial need for interdisciplinary collaboration and the adoption of responsible innovation practices to secure a sustainable future. By addressing the identified challenges and leveraging the opportunities, the field of Green AI can significantly contribute to environmental sustainability. Our findings provide a nuanced understanding of the field and offer valuable insights to inform future research directions.

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