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 propagate existing societal biases. This presents a serious concern as individuals seeking help may encounter discriminatory outcomes based on their ethnicity, sex, or other sensitive attributes. It is essential to

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