What are the best practices for monitoring AI systems?
An example of an AI chatbot conversation about best practices for monitoring AI systems.
What are the best practices for monitoring AI systems?
Best practices include setting clear performance metrics, regular audits, and ensuring transparency in decision-making.
How often should we conduct audits on our AI systems?
Audits should be conducted at least quarterly, but more frequent checks may be necessary for high-stakes applications.
What metrics should we focus on during monitoring?
Focus on accuracy, bias detection, response time, and user satisfaction to ensure the AI is performing well.
Can you recommend tools for monitoring AI performance?
Sure! Tools like TensorBoard, MLflow, and Prometheus are great for monitoring AI performance and metrics.
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