DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health assistance. However, these tools often depend on algorithms that can perpetuate existing societal biases. This poses a serious issue as users seeking support may encounter unfair outcomes based on their race, sex, or other sensitive attributes. It is essential to deconstruct these bi

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