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Auditing AI Usage: What You Should Track Monthly

Team Raidu

Team Raidu

AI Team

5 min read
Auditing AI Usage: What You Should Track Monthly
# Auditing AI Usage: What You Should Track Monthly

As AI continues to infiltrate virtually every sector of business, it's imperative to regularly audit its usage within your organization. The aim is to ensure that your AI systems are not only delivering value but also adhering to the highest level of compliance. This article highlights the key metrics you should track monthly to keep your enterprise AI usage in check.

##  Understanding The Need for Regular AI Audits

For a technology that's transforming how we do business, AI is often left unchecked once it's integrated into a system. While it may seem to work seamlessly, it's crucial to regularly assess and evaluate its performance. Regular AI audits help in identifying potential issues, optimizing its performance, and ensuring that it's compliant with all regulatory requirements. 

##  Key Metrics to Track

### H2.1: Performance Metrics

AI is only as good as its performance. Monitor the accuracy, precision, and recall of your AI models on a monthly basis. Compare these metrics with your performance benchmarks to identify any deviations and take corrective measures.

### H2.2: Usage Metrics

How often and in what capacity is your AI being utilized? Understanding usage patterns can help you optimize your AI systems for peak performance during high usage periods.

### H2.3: Compliance Metrics

Ensure your AI is adhering to privacy laws, ethical guidelines, and other regulatory requirements. Track any instances of non-compliance and rectify them immediately to avoid potential legal implications.

##  Implementing a Regular AI Audit Process

It's not enough to simply track these metrics; they need to be evaluated regularly. Establish a monthly audit process that reviews these metrics and produces a detailed report. This report should be reviewed by key stakeholders to understand the overall health and compliance of your AI systems.

##  Leveraging AI Auditing Tools

Several AI auditing tools can automate this process, making it more efficient and effective. These tools can track metrics in real-time, generate monthly reports, and send alerts when there are deviations from the set benchmarks.

## Conclusion

Regular AI audits are a non-negotiable aspect of enterprise AI usage. They not only ensure optimal performance but also keep your organization compliant with legal requirements. By tracking key metrics, implementing a regular audit process, and leveraging AI auditing tools, you can ensure that your AI systems are continually delivering value to your organization.

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