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Risk-based taxonomy

Classification based on use-case-specific risk levels.

Definition

A framework for categorizing AI systems and applications according to the magnitude and likelihood of potential harms, directing proportionate oversight and interventions to higher-risk uses while allowing lighter treatment for lower-risk ones.

White Paper: Principles of Policy, Regulation and Ethics in Artificial Intelligence (Ministry of Innovation, Science and Technology) - (White Paper published for public consultation)

Related Terms

Working taxonomy (of AI capabilities and risk)

Contextual taxonomy linking AI capabilities to risk contexts....

Risk-based categorisation

Classification of AI systems by risk level (minimal to unacceptable)....

High‑risk AI

AI uses with potential for severe or large‑scale harm....

Risk classification (of AI applications)

Assessment of AI applications by materiality and risk factors....

High-Risk (AI)

AI uses that pose substantial potential harm....

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