EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health resources. However, these systems often depend on algorithms that can perpetuate existing societal biases. This presents a serious issue as people seeking support may encounter prejudiced outcomes based on their race, identity, or other protected characteristics. It here is crucial

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