Examining Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to provide mental health resources. However, these systems often utilize algorithms that can reinforce existing societal biases. This presents a serious issue as users seeking support may encounter prejudiced outcomes based on their ethnicity, sex, or other sensitive attributes. It is crucial to unpack thes