Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to provide mental health assistance. However, these platforms often depend on algorithms that can reinforce existing societal biases. This presents a serious issue as users seeking help may encounter unfair outcomes based on their background, identity, or other protected characteristics. It is vital to anal