EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health support. However, these tools often rely algorithms that can perpetuate existing societal biases. This presents a serious concern as people seeking help may encounter discriminatory outcomes based on their race, sex, or other personal traits. It is vital to analyze these biases and

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