What are the best practices for auditing AI systems?
The best practices for auditing AI systems include ensuring transparency, maintaining data integrity, and conducting regular evaluations.
Can you explain why transparency is important in AI auditing?
Transparency helps stakeholders understand how AI decisions are made, which builds trust and accountability.
What tools can I use for auditing AI models?
Some popular tools for auditing AI models include IBM Watson OpenScale, Google Cloud AI Explanations, and Microsoft Azure Machine Learning.
How often should AI systems be audited?
AI systems should be audited regularly, ideally at least once a year, or whenever there are significant changes to the model or data.
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