EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health assistance. However, these systems often rely algorithms that can perpetuate existing societal biases. This presents a serious concern as people seeking aid may encounter unfair outcomes based on their race, identity, or other protected characteristics. It is essential to unpack these

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