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Containment, isolation, and control mechanisms for system execution.
Also in Non-Model
Redundant systems provide continuation of a given system’s processes in case of failure of the given system. Importantly, redundant systems should not rely on the factors that caused the original system to fail in the first place, which can include an AI system [47].
For example, if an AI system is incorporated into the landing gear system of an aircraft, such as during autonomous control of the aircraft, redundant systems in the form of mechanical or hydraulic mechanisms must be present to allow for deployment of the landing gear in case of AI system failure.
Reasoning
Maintains redundant non-AI systems as runtime containment mechanism isolating critical functions from GPAI dependency.
Physical impacts
Model development
2.4 Engineering & DevelopmentModel development > Data-related
1.1 ModelModel evaluations
2.2.2 Testing & EvaluationModel evaluations > General evaluations
2.2.2 Testing & EvaluationModel evaluations > Benchmarking
3.2.1 Benchmarks & EvaluationModel evaluations > Red teaming
2.2.2 Testing & EvaluationRisk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems
Gipiškis, Rokas; San Joaquin, Ayrton; Chin, Ze Shen; Regenfuß, Adrian; Gil, Ariel; Holtman, Koen (2024)
Organizations and governments that develop, deploy, use, and govern AI must coordinate on effective risk mitigation. However, the landscape of AI risk mitigation frameworks is fragmented, uses inconsistent terminology, and has gaps in coverage. This paper introduces a preliminary AI Risk Mitigation Taxonomy to organize AI risk mitigations and provide a common frame of reference. The Taxonomy was developed through a rapid evidence scan of 13 AI risk mitigation frameworks published between 2023-2025, which were extracted into a living database of 831 distinct AI risk mitigations.
Plan and Design
Designing the AI system, defining requirements, and planning development
Deployer
Entity that integrates and deploys the AI system for end users
Manage
Prioritising, responding to, and mitigating AI risks
