UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health resources. However, these systems often rely algorithms that can reinforce existing societal biases. This poses a serious issue as individuals seeking help may encounter unfair outcomes based on their race, identity, or other sensitive attributes. It is crucial to unpack these biase

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