UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual here landscape is rapidly evolving to deliver mental health assistance. However, these systems often utilize algorithms that can reinforce existing societal biases. This poses a serious issue as users seeking support may encounter prejudiced outcomes based on their race, gender, or other protected characteristics. It is vital to unpack

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