EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to deliver mental health assistance. However, these tools often utilize algorithms that can reinforce existing societal biases. This presents a serious issue as individuals seeking aid may encounter unfair outcomes based on their background, sex, or other personal traits. It is essential to unpack these bia

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