Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health assistance. However, these systems often depend on algorithms that can reinforce existing societal biases. This presents a serious issue as users seeking aid may encounter unfair outcomes based on their race, gender, or other personal traits. It is essential to analyze these biases and