Unpacking Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to provide mental health resources. However, these systems often depend on algorithms that can propagate existing societal biases. This poses a serious threat as users seeking support may encounter discriminatory outcomes based on their background, identity, or other protected characteristics. It is vital t