DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health resources. However, these systems often rely algorithms that can perpetuate existing societal biases. This poses a serious threat as people seeking help may encounter discriminatory outcomes based on their background, sex, or other personal traits. It is vital to deconstruct these ineq

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