Green and sustainable AI research: an integrated thematic and topic modeling analysis
Amrita Vishwa Vidyapeetham · International Management Institute · +3 more institutions
Abstract
Abstract This investigation delves into Green AI and Sustainable AI literature through a dual-analytical approach, combining thematic analysis with BERTopic modeling to reveal both broad thematic clusters and nuanced emerging topics. It identifies three major thematic clusters: (1) Responsible AI for Sustainable Development, focusing on integrating sustainability and ethics within AI technologies; (2) Advancements in Green AI for Energy Optimization, centering on energy efficiency; and (3) Big Data-Driven Computational Advances, emphasizing AI’s influence on socio-economic and environmental aspects. Concurrently, BERTopic modeling uncovers five emerging topics: Ethical Eco-Intelligence, Sustainable Neural…
Citation impact
- FWCI
- 186.62
- Percentile
- 100%
- References
- 98
Authors
6Topics & keywords
- Computer science
- Thematic map
- Computational Science and Engineering
- Data science
- Thematic analysis
- Software engineering
- Qualitative research
- Sociology