Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health assistance. However, these tools often depend on algorithms that can perpetuate existing societal biases. This presents a serious issue as people seeking aid may encounter prejudiced outcomes based on their ethnicity, sex, or other sensitive attributes. It is crucial to deconstruct the