Unpacking Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to deliver mental health assistance. However, these tools often depend on algorithms that can reinforce existing societal biases. This presents a serious concern as users seeking support may encounter prejudiced outcomes based on their race, sex, or other protected characteristics. It is crucial to deconstru