Case-Based Reasoning
AI in Society
The environmental impact of training and running artificial intelligence systems, measured in carbon dioxide emissions. This includes energy consumption from model training, inference, and supporting infrastructure.
Detailed Explanation
The "Carbon Footprint of AI" refers to the environmental impact caused by the energy consumption of developing, training, and deploying AI systems. This impact is primarily measured through the amount of carbon dioxide emissions generated from data center operations, computational power, and hardware use. Reducing this footprint involves optimizing models, utilizing renewable energy, and improving efficiency in AI infrastructure.
Use Cases
- •Implementing energy-efficient AI models to reduce carbon emissions in data centers.
Related Terms
Other terms in the AI in Society category