DISSECTING 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 propagate existing societal biases. This presents a serious threat as individuals seeking support may encounter prejudiced outcomes based on their race, gender, or other protected characteristics. It is vital to decon

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