Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to deliver mental health assistance. However, these tools often rely algorithms that can propagate existing societal biases. This presents a serious concern as individuals seeking help may encounter unfair outcomes based on their background, sex, or other personal traits. It is essential to deconstruct thes