Bias-Testing

Bias testing is the systematic evaluation of AI models and systems to identify and measure unfair or discriminatory outcomes across different demographic groups or use cases. This practice is critical for enterprise AI governance because regulatory frameworks like the EU AI Act and fair lending laws increasingly require organizations to demonstrate that their AI systems do not perpetuate or amplify societal biases. Regular bias testing helps organizations mitigate legal liability, maintain stakeholder trust, and ensure their AI systems treat all users equitably regardless of protected characteristics such as race, gender, or age.

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