DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health support. However, these tools often rely algorithms that can perpetuate existing societal biases. This raises a serious concern as individuals seeking aid may encounter unfair outcomes based on their ethnicity, identity, or other protected characteristics. It is crucial to deconstru

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