DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health resources. However, these systems often rely algorithms that can propagate existing societal biases. This raises a serious concern as individuals seeking help may encounter unfair outcomes based on their background, sex, or other sensitive attributes. It is crucial to deconstruct the

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