Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to provide mental health assistance. However, these systems often rely algorithms that can perpetuate existing societal biases. This presents a serious concern as individuals seeking aid may encounter discriminatory outcomes based on their ethnicity, gender, or other sensitive attributes. It is crucial to un