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