Regular bias testing and audits ensure our AI models perform fairly across all demographics and care settings.
We conduct comprehensive fairness controls to identify and mitigate any potential biases in detection accuracy.
Our models are continuously monitored and updated based on audit findings to maintain the highest standards of fairness and accuracy.
Documentation of all bias testing and audit results is available upon request for transparency and compliance purposes.
Together, these measures ensure that our AI detection system operates fairly, accurately, and without bias across all care environments.
