Examining Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to provide mental health resources. However, these platforms often depend on algorithms that can perpetuate existing societal biases. This presents a serious concern as individuals seeking help may encounter discriminatory outcomes based on their ethnicity, sex, or other sensitive attributes. It is crucial t