Post-Market Monitoring
RegulatoryWhat It Means
Post-market monitoring means continuously watching how your AI systems perform after they go live, collecting data on their real-world behavior and outcomes. It's like having a health monitoring system that alerts you when something goes wrong or when the AI isn't working as expected in actual business conditions.
Why Chief AI Officers Care
This creates ongoing compliance obligations and operational costs that must be built into AI budgets and processes from day one. Failure to properly monitor deployed AI systems can result in regulatory penalties, reputational damage, and missed opportunities to prevent AI failures that could harm customers or business operations.
Real-World Example
A bank deploys an AI credit scoring system and must continuously monitor it to ensure it doesn't develop discriminatory patterns against certain demographic groups, tracking approval rates, complaint patterns, and performance metrics to catch issues before regulators do.
Common Confusion
Many organizations think monitoring ends after initial testing and deployment, but post-market monitoring is a permanent operational requirement. It's not just about technical performance metrics, but includes tracking real-world impacts on people and compliance with evolving regulations.
Industry-Specific Applications
See how this term applies to healthcare, finance, manufacturing, government, tech, and insurance.
Healthcare: In healthcare, post-market monitoring involves continuously tracking AI diagnostic tools, treatment algorithms, and clin...
Finance: In finance, post-market monitoring is critical for tracking AI systems used in trading algorithms, credit scoring, and f...
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Includes:
- 6 industry-specific applications
- Relevant regulations by sector
- Real compliance scenarios
- Implementation guidance
Technical Definitions
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