Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to offer mental health resources. However, these tools often rely algorithms that can propagate existing societal biases. This raises a serious concern as individuals seeking support may encounter discriminatory outcomes based on their ethnicity, gender, or other sensitive attributes. It is crucial to decon