Examining Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to provide mental health resources. However, these tools often rely algorithms that can propagate existing societal biases. This raises a serious concern as people seeking aid may encounter unfair outcomes based on their background, gender, or other personal traits. It is essential to analyze these dispariti