UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health assistance. However, these tools often rely algorithms that can perpetuate existing societal biases. This poses a serious issue as users seeking help may encounter unfair outcomes based on their race, sex, or other personal traits. It is crucial to unpack these disparities and strive

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