EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health resources. However, these tools often utilize algorithms that can propagate existing societal biases. This raises a serious concern as individuals seeking aid may encounter discriminatory outcomes based on their race, sex, or other protected characteristics. It is essential to analy

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