DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these tools often rely algorithms that can propagate existing societal biases. This presents a serious concern as people here seeking help may encounter unfair outcomes based on their ethnicity, identity, or other sensitive attributes. It is essential to unpack these

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