Unpacking Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to provide mental health assistance. However, these systems often depend on algorithms that can propagate existing societal biases. This poses a serious threat as individuals seeking help may encounter prejudiced outcomes based on their race, identity, or other sensitive attributes. It is crucial to unpack