Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to provide mental health resources. However, these platforms often rely algorithms that can reinforce existing societal biases. This presents a serious issue as individuals seeking aid may encounter discriminatory outcomes based on their race, sex, or other sensitive attributes. It is crucial to unpack thes