Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to provide mental health assistance. However, these systems often depend on algorithms that can perpetuate existing societal biases. This raises a serious threat as users seeking aid may encounter prejudiced outcomes based on their race, sex, or other personal traits. It is crucial to analyze these biases a