DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health resources. However, these tools often depend on algorithms that can propagate existing societal biases. This presents a serious issue as people seeking aid may encounter prejudiced outcomes based on their ethnicity, gender, or other personal traits. It is essential to deconstruct th

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