Examining Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to provide mental health resources. However, these tools often rely algorithms that can perpetuate existing societal biases. This raises a serious issue as users seeking help may encounter prejudiced outcomes based on their ethnicity, gender, or other personal traits. It is essential to unpack these biases