Unpacking Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to provide mental health resources. However, these platforms often rely algorithms that can propagate existing societal biases. This presents a serious issue as individuals seeking aid may encounter unfair outcomes based on their background, sex, or other sensitive attributes. It is vital to analyze these i