UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health assistance. However, these systems often rely algorithms that can reinforce existing societal biases. This presents a serious threat as people seeking help may encounter discriminatory outcomes based on their race, gender, or other sensitive attributes. It is essential to deconstruct

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