Unpacking Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to offer mental health assistance. However, these tools often depend on algorithms that can propagate existing societal biases. This presents a serious issue as users seeking support may encounter unfair outcomes based on their race, gender, or other sensitive attributes. It is vital to analyze these biases