Unpacking Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to offer mental health resources. 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 ethnicity, gender, or other personal traits. It is vital to analyze these inequalities a