A systematic review of Green AI
University of Florence · Delft University of Technology
Abstract
Abstract With the ever‐growing adoption of artificial intelligence (AI)‐based systems, the carbon footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to hold themselves accountable for the carbon emissions of the AI models they design and use. This led in recent years to the appearance of researches tackling AI environmental sustainability, a field referred to as Green AI. Despite the rapid growth of interest in the topic, a comprehensive overview of Green AI research is to date still missing. To address this gap, in this article, we present a systematic review of the Green AI literature. From the analysis of 98 primary studies, different patterns emerge. The topic…
Citation impact
- FWCI
- 32.97
- Percentile
- 100%
- References
- 116
Authors
3Topics & keywords
- Artificial intelligence
- Sustainability
- Benchmarking
- Carbon footprint
- Computer science
- Field (mathematics)
- Systematic review
- Operations research