Examining Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to deliver mental health resources. However, these systems often depend on algorithms that can reinforce existing societal biases. This raises a serious threat as individuals seeking aid may encounter unfair outcomes based on their ethnicity, sex, or other protected characteristics. It is vital to unpack th