Unpacking Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to offer mental health assistance. However, these systems often here depend on algorithms that can propagate existing societal biases. This raises a serious threat as users seeking help may encounter discriminatory outcomes based on their ethnicity, sex, or other personal traits. It is crucial to analyze th