EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

Examining Algorithmic Bias in Online Mental Health Resources

The digital landscape is rapidly evolving to provide mental health assistance. However, these systems often depend on algorithms that can perpetuate existing societal biases. This poses a serious issue as users seeking support may encounter prejudiced outcomes based on their race, identity, or other personal traits. It is essential to deconstruct t

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