Deployment Assessment and Vendor Risk
This topic covers impact assessment for selected AI systems, vendor and license agreement review, key contractual terms, third-party risk, proprietary model risk, opportunities, obligations, and liability exposure.
How to study for IAPP AIGP
Treat each question as a governance decision: identify the AI role and life-cycle stage, classify the legal or risk issue, then choose the control, evidence, and accountability path.
Core concepts
Concept 1
Before deployment, organizations should assess the selected AI system's impact, expected benefits, harms, controls, affected parties, and operating assumptions.
Exam cue: Use impact assessment when the deployment could affect rights, safety, access, or trust.
Concept 2
Vendor and license review should address data use, output rights, confidentiality, security, audit rights, changes, service levels, liability, and termination.
Exam cue: Use vendor agreement review when external AI services, models, or datasets are involved.
Concept 3
Deploying proprietary AI can create more control and customization but may also increase obligations, maintenance burden, and liability.
Exam cue: Use proprietary-model analysis when the organization builds or owns the model directly.
Risk pitfalls and guardrails
Approving vendor AI without reviewing data-use and audit terms.
Guardrail: Avoid treating vendor tools as risk-free, relying on aggregate accuracy alone, or stopping governance after deployment approval.
Assuming proprietary models always reduce governance risk.
Guardrail: Avoid treating vendor tools as risk-free, relying on aggregate accuracy alone, or stopping governance after deployment approval.
Skipping impact assessment because a similar tool is already used elsewhere.
Guardrail: Avoid treating vendor tools as risk-free, relying on aggregate accuracy alone, or stopping governance after deployment approval.
Memory anchors
Deployment Impact Assessment
A deployment impact assessment evaluates risks and controls for a selected AI system in context.
Vendor Agreement
A vendor agreement defines rights, responsibilities, data use, service commitments, and risk allocation.
License Risk
License risk concerns whether model, data, code, or output use is permitted.
Audit Right
An audit right allows review of controls, evidence, or compliance commitments.
Liability Allocation
Liability allocation assigns responsibility for losses, failures, or legal claims.
Service Level
A service level defines expected performance, availability, support, or response commitments.
Proprietary Model
A proprietary model is controlled or owned by the organization or vendor rather than openly available.
Termination Control
Termination control defines exit rights, data return, deletion, transition, and continuity.
Checkpoint rule
Do the check-up only after you can summarize each concept in one sentence and identify one dangerous pitfall from memory.
Knowledge Check (after reading)
Short check-up to confirm understanding of this module.
Check-up Questions
Why should an organization conduct due diligence on a third-party AI provider before deploying its model?
Why should a vendor's transparency about its model and data be evaluated?
Answer all questions to submit.
Next step personalized recommendations
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Move forward only after this module is stable.
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