https://taxonomy.eticas.ai/risk/hardware-efficiency
Maturity: emerging
Poor hardware utilisation increasing costs, environmental footprint, and limiting the feasibility of equitable access to AI capabilities.
This subcategory is emerging. It has not yet been validated through established assessment methods.
System type: ADM and LLM systems
Lifecycle stages: In Processing, Post Processing
| Framework | Reference |
|---|---|
| NIST AI 600-1 — Generative AI Risk Profile | Environmental Impacts (resource efficiency) |
Source: HRA project taxonomy