DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health assistance. However, these systems often rely algorithms that can perpetuate existing societal biases. This raises a serious threat as people seeking help may encounter unfair outcomes based on their background, identity, or other sensitive attributes. It is essential to analyze these

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