Examining Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to deliver mental health support. However, these systems often rely algorithms that can reinforce existing societal biases. This poses a serious concern as users seeking help may encounter unfair outcomes based on their ethnicity, gender, or other protected characteristics. It is essential to deconstruct th