EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health assistance. However, these tools often utilize algorithms that can reinforce existing societal biases. This poses a serious issue as people seeking help may encounter prejudiced outcomes based on their ethnicity, identity, or other sensitive attributes. It is essential to deconstruct

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