EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

Examining Algorithmic Bias in Online Mental Health Resources

The virtual landscape is rapidly evolving to deliver mental health resources. However, these tools often rely algorithms that can reinforce existing societal biases. This raises a serious issue as people seeking help may encounter prejudiced outcomes based on their background, gender, or other personal traits. It is vital to deconstruct these biase

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