Examining Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to deliver mental health support. However, these tools often rely algorithms that can propagate existing societal biases. This raises a serious concern as users seeking support may encounter prejudiced outcomes based on their race, sex, or other personal traits. It is essential to deconstruct these disparit