Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to deliver mental health resources. However, these tools often utilize algorithms that can propagate existing societal biases. This presents a serious concern as users seeking help may encounter unfair outcomes based website on their ethnicity, identity, or other sensitive attributes. It is crucial to decons