EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health resources. However, these tools often utilize algorithms that can perpetuate existing societal biases. This raises a serious issue as people seeking aid may encounter unfair outcomes based on their race, sex, or other sensitive attributes. It is essential to unpack these biases and en

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