DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health assistance. However, these tools often rely algorithms that can propagate existing societal biases. This presents a serious concern as people seeking support may encounter unfair outcomes based on their background, identity, or other sensitive attributes. It is crucial to deconstruc

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