Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to provide mental health support. However, these systems often utilize algorithms that can propagate existing societal biases. This poses a serious concern as users seeking support may encounter unfair outcomes based on their race, gender, or other sensitive attributes. It is essential to deconstruct these