EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health assistance. However, these tools often rely algorithms that can perpetuate existing societal biases. This presents a serious concern as users seeking help may encounter prejudiced outcomes based on their race, sex, or other sensitive attributes. It is crucial to deconstruct these ine

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