DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health support. However, these systems often rely algorithms that can reinforce existing societal biases. This raises a serious concern as users seeking support may encounter unfair outcomes based on their background, sex, or other sensitive attributes. It is essential to unpack these bias

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