Examining Algorithmic Bias in Online Mental Health Resources
The virtual landscape is rapidly evolving to provide mental health assistance. However, these tools often depend on algorithms that can perpetuate existing societal biases. This poses a serious concern as users seeking aid may encounter unfair outcomes based on their background, identity, or other protected characteristics. It is essential to analy