Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health assistance. However, these tools often rely algorithms that can propagate existing societal biases. This presents a serious threat as users seeking help may encounter unfair outcomes based on their race, sex, or other protected characteristics. It is essential to analyze these disparit