Examining Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to offer mental health support. However, these tools often depend on algorithms that can propagate existing societal biases. This presents a serious threat as individuals seeking help may encounter prejudiced outcomes based on their ethnicity, gender, or other sensitive attributes. It is vital to analyze th