Examining Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to deliver mental health resources. However, these tools often rely algorithms that can perpetuate existing societal biases. This presents a serious issue as users seeking support may encounter unfair outcomes based on their race, sex, or other personal traits. It is vital to analyze these inequalities and