EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health assistance. However, these systems often depend on algorithms that can perpetuate existing societal biases. This raises a serious threat as people seeking aid may encounter discriminatory outcomes based on their ethnicity, identity, or other sensitive attributes. It is vital w3informa

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