Examining Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to deliver mental health resources. However, these tools often depend on algorithms that can perpetuate existing societal biases. This poses a serious threat as users seeking aid may encounter prejudiced outcomes based on their race, identity, or other personal traits. It is essential to deconstruct these i