MIT AI Risk Repository · Risk Sub-Category · 54.01.02
Environmental cost
Category: Negative impacts of AI use
Description
"Large-scale DL systems can produce signicant carbon emissions as a result of the computational demands of training runs and inference [539]"
From Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024 ), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Subdomain
- 6.6 Environmental harm
- Causal entity
- AI
- Intent
- Unintentional
- Timing
- Pre-deployment
Subdomain definition: The development and operation of AI systems causing environmental harm, such as through energy consumption of data centers, or material and carbon footprints associated with AI hardware.
Real-world incidents in this subdomain
Browse all incidents in this subdomainHow other frameworks describe this risk
Other entries from Leech2024
- Negative impacts of AI use
- Under-recognized work
- Discrimination, toxicity, and bias
- Privacy
- Security
- Harm caused by incompetent systems
- Harm caused by unaligned competent systems
- Specification gaming
- Emergent goals
- Deceptive alignment
- Within-country issues: domestic inequality
- Demographic diversity of researchers