DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health resources. However, these tools often depend on algorithms that can propagate existing societal biases. This presents a serious issue as individuals seeking aid may encounter prejudiced outcomes based on their background, identity, or other sensitive attributes. It is essential to un

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