Examining Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health resources. However, these systems often utilize algorithms that can perpetuate existing societal biases. This poses a serious threat as users seeking aid may encounter unfair outcomes based on their race, sex, or other protected characteristics. It is crucial to unpack these biases and