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 perpetuate existing societal biases. This poses a serious threat as individuals seeking support may encounter discriminatory outcomes based on their ethnicity, identity, or other personal traits. It is vital to unpa

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