MAP 1.5 - Organisations Risk Tolerance
NIST AI RMF (in the playbook companion) states:
MAP 1.5Organizational risk tolerances are determined.
About
Risk tolerance reflects the level and type of risk the organization will accept while conducting its mission and carrying out its strategy.
Deployment should not be pre-determined. Rather, it should result from a clearly defined process based on organizational risk tolerances.
Go/no-go decisions should be incorporated throughout the AI system’s lifecycle. For systems deemed “higher risk,” such decisions should include approval from relevant technical or risk-focused executives.
Go/no-go decisions related to AI system risks should take stakeholder feedback into account, but remain independent from stakeholders’ vested financial or reputational interests
Actions
Establish risk tolerance levels for AI systems and allocate the appropriate oversight resources to each level.
Identify maximum allowable risk thresholds above which the system will not be deployed, or will need to be prematurely decommissioned, within the contextual or application setting.
Attempts to use a system for “off-label” purposes should be approached with caution, especially in settings that organizations have deemed as high-risk. Document decisions, risk-related trade-offs, and system limitations.
Transparency and Documentation
Organizations can document the following:
What justifications, if any, has the entity provided for the assumptions, boundaries, and limitations of the AI system?
How has the entity identified and mitigated potential impacts of bias in the data, including inequitable or discriminatory outcomes?
To what extent are the established procedures effective in mitigating bias, inequity, and other concerns resulting from the system?
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