Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to deliver mental health assistance. However, these systems often rely algorithms that can propagate existing societal biases. This raises a serious concern as users seeking support may encounter unfair outcomes based on their ethnicity, identity, or other personal traits. It is crucial to unpack these inequ