Examining Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health resources. However, these systems often depend on algorithms that can propagate existing societal biases. This poses a serious issue as people seeking aid may encounter prejudiced outcomes based on their race, sex, or other protected characteristics. It is crucial to deconstruct these