Dissecting Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to deliver mental health assistance. However, these tools often depend on algorithms that can reinforce existing societal biases. This presents a serious threat as people seeking aid may encounter prejudiced outcomes based on their ethnicity, identity, or other protected characteristics. It is crucial to an