Governance
Working taxonomy (of AI capabilities and risk)
Contextual taxonomy linking AI capabilities to risk contexts.
Definition
A descriptive and functional categorisation of AI approaches and capabilities (e.g., learning, pattern recognition, foundation models), designed to be applied contextually so regulators can assess how the same technical capability may present different risks depending on use, scale and sector.
Related Terms
Risk-based taxonomy
Classification based on use-case-specific risk levels....
Risk classification (of AI applications)
Assessment of AI applications by materiality and risk factors....
use case classification
Categorisation of AI usage by pattern and domain....
Risk-based categorisation
Classification of AI systems by risk level (minimal to unacceptable)....
High-Risk (AI)
AI uses that pose substantial potential harm....