DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health assistance. However, these systems often depend on algorithms that can reinforce existing societal biases. This poses a serious issue as people seeking support may encounter unfair outcomes based on their race, gender, or other sensitive attributes. It is vital to deconstruct these bi

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