EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to deliver mental health resources. However, these tools often utilize algorithms that can perpetuate existing societal biases. This presents a serious threat as users seeking aid may encounter unfair outcomes based on their race, gender, or other protected characteristics. It is vital to deconstruct these

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