EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health assistance. However, these systems often depend on algorithms that can reinforce existing societal biases. This presents a serious issue as individuals seeking help may encounter prejudiced outcomes based on their race, sex, or other sensitive attributes. It is vital to analyze these

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