Examining Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to deliver mental health resources. However, these platforms often rely algorithms that can propagate existing societal biases. This raises a serious threat as users seeking aid may encounter prejudiced outcomes based on their race, identity, or other sensitive attributes. It is crucial to deconstruct these