DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health support. However, these systems often depend on algorithms that can reinforce existing societal biases. This presents a serious issue as people seeking help may encounter unfair outcomes based on their ethnicity, sex, or other personal traits. It is essential to deconstruct these bi

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