Unpacking Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to deliver mental health resources. However, these tools often depend on algorithms that can propagate existing societal biases. This presents a serious concern as users seeking aid may encounter discriminatory outcomes based on their race, gender, or other protected characteristics. It is crucial to analyz