Dissecting Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to deliver mental health assistance. However, these tools often rely algorithms that can reinforce existing societal biases. This poses a serious threat as users seeking aid may encounter prejudiced outcomes based on their ethnicity, identity, or other sensitive attributes. It is essential to analyze these