UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health assistance. However, these tools often utilize algorithms that can reinforce existing societal biases. This presents a serious threat as people seeking support may encounter discriminatory outcomes based on their race, sex, or other sensitive attributes. It is crucial to deconstruct

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