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 threat as individuals seeking help may encounter unfair outcomes based on their background, gender, or other sensitive attributes. It is crucial to deco

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