From the course: Advanced AI Governance: Operationalizing AI Controls and Continuous Monitoring
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Evaluate and enhance your controls
From the course: Advanced AI Governance: Operationalizing AI Controls and Continuous Monitoring
Evaluate and enhance your controls
- In the last chapter, I showed you how to conduct a gap analysis and implement controls to satisfy AI regulations. And while they may be working on day one, how do you know they'll stay effective over time? Deploying controls is just the first step in your AI governance journey. Now you want to continuously test and validate them to make sure they stay effective. Specifically, when you conduct control assessments, confirm that they operate as intended, meet regulatory standards, and consistently align with organizational goals. All of this helps you develop and deploy trustworthy AI, but that control assessment is only as good as the evidence it relies on. Just like your recipe is only as good as the ingredients you add. To address this, look at how you can automate evidence collection or schedule recurring tasks to gather evidence all year long. It's like having fresh milk delivered every morning straight to your door. Let's check back in with Red30 Tech. They successfully updated…
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