Interactive demo showing how our AI Auditor analyzes machine-generated content for potential biases, stereotypes, and ethical concerns in real time.
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What makes our AI Auditor stand out
Instantly identify problematic patterns in your AI's output before deployment
Visual representation of gender, racial, and cultural bias in AI output
Automated compliance with GDPR, Civil Rights Act, and modern AI ethics guidelines
Understand exactly why an AI's output triggers alerts with technical explanations
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Uses advanced NLP models to detect 12 different bias vectors across text, images, and audio content - all within a secure audit container.
Answers to common questions about our AI auditor
Our system uses a combination of transformer models trained on ethical frameworks and historical bias patterns to analyze machine-generated content. The auditor identifies linguistic patterns, representational imbalances, and other potential issues in real time.
The system supports text, image captions, audio transcripts, and even code generation output. Simply upload or paste the content you want to analyze, and our system will automatically select the appropriate analysis model.
Yes. All analysis happens within a secure container and your data is deleted automatically after 48 hours. We never store your input data or analysis results unless you choose to save them manually.
Our system achieves 92.3% accuracy in detecting explicit bias markers according to independent auditors. However like all AI systems, it's most effective when used as part of a human review workflow rather than a complete replacement for human judgment.