From the course: Advanced AI Governance: Operationalizing AI Controls and Continuous Monitoring
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Monitor and scale AI systems for long-term success
From the course: Advanced AI Governance: Operationalizing AI Controls and Continuous Monitoring
Monitor and scale AI systems for long-term success
- Now that Red30 texts AI chatbots are deployed and operational, it's time to sit back, relax, and forget all about them. Right? Wrong. To achieve long-term success, you must keep tabs on your AI systems security and performance over time. As we discussed in chapter two, continuous monitoring lets you identify and address issues early, preventing potential failures or breaches that could harm your organization. If you recall, the compliance team at Red30 Tech implemented regular checks on AI decision-making to ensure the chatbot is producing accurate and unbiased information, but it doesn't stop there. You also need to continuously evaluate how well the AI system aligns with key performance indicators and operational goals. For AI chatbots, that means tracking things like how accurately they respond to questions, how happy users are with them, and how efficiently they work. Using automated tools to capture and analyze this data in real-time means you'll always know how each chat bot…
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