Unpacking Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health resources. However, these systems often rely algorithms that can reinforce existing societal biases. This presents a serious concern as users seeking aid may encounter prejudiced outcomes based on their race, sex, or other protected characteristics. It is vital to analyze these dispari