EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health assistance. However, these tools often rely algorithms that can propagate existing societal biases. This presents a serious concern as individuals seeking support may encounter prejudiced outcomes based on their background, identity, or other sensitive attributes. It is essential to d

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