Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to provide mental health resources. However, these tools often utilize algorithms that can propagate existing societal biases. This presents a serious threat as users seeking aid may encounter unfair outcomes based on their ethnicity, sex, or other protected characteristics. It is essential to deconstruct t