Term
AI Output Audit
Definition
An AI Output Audit is a review process that checks AI-generated responses to ensure they are free from bias, safe to use, and accurate.
Where you’ll find it
This feature is typically located in the Governance section of the AI platform, accessible through the main dashboard or specific project settings.
Common use cases
- Ensuring that AI-generated content meets ethical standards.
- Verifying the safety and appropriateness of responses before publication.
- Confirming the accuracy of information provided by AI systems.
Things to watch out for
- Stay updated with the latest audit criteria, as these can change with platform updates.
- Understand the details and implications of audit findings; it can be technical.
- Regularly auditing AI outputs helps catch issues proactively.
Related terms
- Data Bias
- Model Accuracy
- Ethical AI
- Safety Protocols
Pixelhaze Tip: Regularly review the audit logs and insights provided by the AI Output Audit to better understand how your AI is performing and to identify patterns or recurring issues that may require further tweaking or training of your AI models.