DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health support. However, these systems often rely algorithms that can propagate existing societal biases. This poses a serious threat as individuals seeking aid may encounter unfair outcomes based on their ethnicity, gender, or other sensitive attributes. It is essential to analyze these bi

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