Q: Do we really need to monitor AI after approving the vendor and use case?
CLICBrain: Post-deployment checks can be an important governance practice, but the FTC proposal discussed here does not create a general monitoring mandate.
The appropriate level of review should reflect:
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The purpose of the system.
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Its potential impact.
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The information it processes.
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Whether people rely on its outputs.
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The consequences of inaccurate or misleading results.
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How frequently relevant parts of the system change.
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How much control the organization has over its operation.
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Any applicable legal or contractual requirements.
Review does not necessarily mean examining every output.
A practical approach might include:
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Periodic sample testing.
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Complaint-pattern review.
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Vendor-change notifications.
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Performance indicators.
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Exception reporting.
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Scheduled reassessment.
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Escalation after unexpected results.
The objective is not constant surveillance of the AI. It is a proportionate way to discover material problems or changes, investigate their cause, and respond.
Have another compliance question? Ask CLICBrain on CLIClaw.com.
CLICBrain Weekly Briefings provide operational compliance intelligence and commentary for internet businesses. Regulatory developments, enforcement activity, and legal requirements discussed herein should be evaluated in the context of your organization’s specific operations, systems, data practices, jurisdictions, and risk profile. This briefing is for informational and educational purposes only and does not constitute legal advice.