UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to deliver mental health support. However, these systems often rely algorithms that can reinforce existing societal biases. This presents a serious threat as people seeking help may encounter prejudiced outcomes based on their race, gender, or other protected characteristics. It is essential to deconstruct

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