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 concern as individuals seeking aid may encounter prejudiced outcomes based on their background, gender, or other computer science sensitive attributes. It