Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health resources. However, these systems often rely algorithms that can reinforce existing societal biases. This raises a serious issue as people seeking aid may encounter prejudiced outcomes based on their background, sex, or other protected characteristics. It is crucial to deconstruct thes