Dissecting Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to provide mental health resources. However, these systems often depend on algorithms that can reinforce existing societal biases. This presents a serious threat as people seeking aid may encounter unfair outcomes based on their race, sex, or other protected characteristics. It is essential to deconstruct t