Risk-based categorisation
Classification of AI systems by risk level (minimal to unacceptable).
Definitions (2)
A tiered framework (minimal, limited, high, unacceptable) aligned with the EU AI Act used in the strategy to determine applicable governance expectations, conformity assessment requirements, permissible uses, and enforcement priorities based on the potential harm and societal impact of an AI system.
A framework for classifying AI systems by the level of risk they pose in context, including the proposal to adopt a model aligned with the EU AI Act; it recognises that the same model may present different risks depending on its use, and that obligations should scale with assessed impact to rights and safety.
Related Terms
High-risk AI deployment
AI systems requiring stricter controls due to elevated harm potential....
high-risk use
Uses with significant impacts on health, safety or fundamental rights....
High-Risk (AI)
AI uses that pose substantial potential harm....
Risk-based taxonomy
Classification based on use-case-specific risk levels....
High-risk systems
AI uses that materially affect rights, safety, or critical services....