EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health assistance. However, these systems often depend on algorithms that can reinforce existing societal biases. This poses a serious concern as people seeking help may encounter discriminatory outcomes based on their ethnicity, identity, or other personal traits. It is essential to unpac

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