Risk Assessment Comes Before Deployment, Not After
April 22, 20241 min read
Risk assessment is the foundation of responsible AI adoption, not a step to retrofit after launch. The process mirrors GDPR and ISO-based work:
- Use Case Mapping: Clarify exactly what the AI will be used for.
- Data Flow Analysis: Understand where the data comes from and where it goes.
- Risk Categorization: Apply familiar risk tiers, low, medium, high, to the Gen-AI use case.
- Control Selection: Decide what safeguards are required before deployment, not during it.
- Risk-Proportionate Treatment: An internal productivity tool carries different risk than a customer-facing, decision-influencing system.
- Existing Capability Reuse: Apply the risk and data-flow skills teams already use elsewhere in compliance.
Most organizations already have these muscles. The work is applying them to AI with the same discipline.
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