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