UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health resources. However, these systems often depend on algorithms that can reinforce existing societal biases. This raises a serious concern as people seeking aid may encounter discriminatory outcomes based on their race, sex, or other personal traits. It is crucial to analyze these dispar

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