UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health resources. However, these tools often depend on algorithms that can propagate existing societal biases. This presents a serious concern as individuals seeking support may encounter prejudiced outcomes based on their ethnicity, identity, or other sensitive attributes. It is essential

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