EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health assistance. However, these systems often rely algorithms that can reinforce existing societal biases. This poses a serious concern as people seeking aid may encounter discriminatory outcomes based on their ethnicity, sex, or other sensitive attributes. It is crucial to analyze these i

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