Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to deliver mental health support. However, these systems often rely algorithms that can propagate existing societal biases. This poses a serious threat as people seeking support may encounter discriminatory outcomes based on their ethnicity, gender, or other sensitive attributes. It is essential to deconstru