MIT AI Risk Repository · Risk Sub-Category · 13.02.05
Ecosystem and Environment
Category: Impacts: People and Society
Description
"Impacts at a high-level, from the AI ecosystem to the Earth itself, are necessarily broad but can be broken down into components for evaluation."
From Evaluating the Social Impact of Generative AI Systems in Systems and Society (Solaiman2023), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Subdomain
- 6.6 Environmental harm
- Causal entity
- Human
- Intent
- Intentional
- Timing
- Post-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 Solaiman2023
- Impacts: The Technical Base System
- Bias, Stereotypes, and Representational Harms
- Cultural Values and Sensitive Content
- Cultural Values and Sensitive Content
- Disparate Performance
- Privacy and Data Protection
- Financial Costs
- Environmental Costs
- Data and Content Moderation Labor
- Impacts: People and Society
- Trustworthiness and Autonomy
- Trustworthiness and Autonomy