Examining Algorithmic Bias in Online Mental Health Resources

The virtual landscape is rapidly evolving to deliver mental health assistance. However, these systems often rely algorithms that can reinforce existing societal biases. This presents a serious threat as individuals seeking support may encounter prejudiced outcomes based on their race, sex, or other personal traits. It is crucial to deconstruct thes

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