Examining Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to offer mental health resources. However, these tools often utilize algorithms that can reinforce existing societal biases. This presents a serious concern as users seeking support may encounter unfair outcomes based on their ethnicity, sex, or other protected characteristics. It is essential to analyze th