Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to provide mental health assistance. However, these tools often rely algorithms that can perpetuate existing societal biases. This raises a serious concern as users seeking support may encounter prejudiced outcomes based on their ethnicity, sex, or other personal traits. It is vital to unpack these biases a