DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health support. However, these systems often rely algorithms that can reinforce existing societal biases. This presents a serious concern as individuals seeking aid may encounter discriminatory outcomes based on their ethnicity, sex, or other protected characteristics. It is essential to d

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