Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health support. However, these systems often rely algorithms that can reinforce existing societal biases. This poses a serious concern as people seeking support may encounter unfair outcomes based on their background, gender, or other protected characteristics. It is vital to deconstruct thes