DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health assistance. However, these tools often utilize algorithms that can propagate existing societal biases. This poses a serious issue as people seeking aid may encounter discriminatory outcomes based on their race, gender, or other personal traits. It is vital to analyze these biases an

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