Examining Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to deliver mental health assistance. However, these systems often depend on algorithms that can perpetuate existing societal biases. This raises a serious issue as users seeking help may encounter discriminatory outcomes based on their background, sex, or other protected characteristics. It is essential to a