DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health resources. However, these tools often rely algorithms that can propagate existing societal biases. This poses a serious issue as people seeking aid may encounter unfair outcomes based on their race, gender, or other sensitive attributes. It is vital to deconstruct these biases and wo

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