EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

Examining Algorithmic Bias in Online Mental Health Resources

The virtual landscape is rapidly evolving to provide mental health support. However, these systems often depend on algorithms that can propagate existing societal biases. This raises a serious issue as people seeking aid may encounter unfair outcomes based on their race, sex, or other sensitive attributes. It is crucial to deconstruct these inequal

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