DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to deliver mental health support. However, these tools often rely algorithms that can perpetuate existing societal biases. This raises a serious threat as individuals seeking aid may encounter unfair outcomes based on their background, sex, or other sensitive attributes. It is essential to analyze these bia

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