Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to deliver mental health support. However, these systems often depend on algorithms that can reinforce existing societal biases. This raises a serious concern as users seeking aid may encounter prejudiced outcomes based on their ethnicity, gender, or other personal traits. It is vital to unpack these inequa