UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health assistance. However, these tools often rely algorithms that can reinforce existing societal biases. This poses a serious issue as users seeking help may encounter prejudiced outcomes based on their race, sex, or other protected characteristics. It is vital to unpack these inequalities

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