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Risk Assessment

Risk assessment identifies and evaluates risks associated with an AI system, its intended use, and its operating context.

Purpose

AIGO risk assessment supports informed governance decisions by establishing a structured view of potential risks and their treatment. Assessment may consider:
  • risk sources
  • affected stakeholders
  • potential impacts
  • likelihood and severity
  • existing controls
  • residual risk
  • treatment decisions
  • risk acceptance

Relationship to controls

Risk assessment provides a basis for identifying appropriate controls. The relationship is: risk → treatment → controls → evidence → assurance

Ongoing assessment

Risk assessment should be revisited when material changes occur, including changes to:
  • system functionality
  • intended use
  • data
  • operating environment
  • stakeholders
  • regulatory requirements
  • known incidents or emerging risks

Source

The canonical procedure is maintained in: guidance/02-procedures/03-AIGO-AI-Risk-Assessment-Procedure-v0.1.md The machine-readable risk model is defined in: schemas/02-risk/02-AIGO-Risk-Schema-v0.1.json