Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health assistance. However, these systems often rely algorithms that can perpetuate existing societal biases. This poses a serious threat as individuals seeking support may encounter prejudiced outcomes based on their background, gender, or other protected characteristics. It is essential to