UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health assistance. However, these tools often rely algorithms that can perpetuate existing societal biases. This raises a serious issue as individuals seeking aid may encounter prejudiced outcomes based on their background, gender, or other protected characteristics. It is essential to unp

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