UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health resources. However, these systems often rely algorithms that can perpetuate existing societal biases. This presents a serious issue as people seeking support may encounter unfair outcomes based on their ethnicity, gender, or other sensitive attributes. It is essential to deconstruct t

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