Examining Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to deliver mental health assistance. However, these systems often utilize algorithms that can reinforce existing societal biases. This poses a serious threat as users seeking aid may encounter unfair outcomes based on their race, identity, or other personal traits. It is crucial to unpack these biases and s