DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health support. However, these systems often utilize algorithms that can reinforce existing societal biases. This poses a serious issue as people seeking aid may encounter prejudiced outcomes based on their race, gender, or other sensitive attributes. It is crucial to analyze these biases an

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