UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health assistance. However, these tools often depend on algorithms that can perpetuate existing societal biases. This presents a serious issue as users seeking support may encounter discriminatory outcomes based on their ethnicity, identity, or other sensitive attributes. It is vital to dec

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