Unpacking Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to provide mental health assistance. However, these tools often rely algorithms that can reinforce existing societal biases. This presents a serious threat as users seeking aid may encounter prejudiced outcomes based on their ethnicity, gender, or other protected characteristics. It is essential to deconstr