Examining Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to deliver mental health resources. However, these platforms often depend on algorithms that can reinforce existing societal biases. This raises a serious concern as users seeking help may encounter unfair outcomes based on their ethnicity, gender, or other sensitive attributes. It is crucial to analyze the