EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

Examining Algorithmic Bias in Online Mental Health Resources

The virtual landscape is rapidly evolving to deliver mental health resources. However, these platforms often rely algorithms that can perpetuate existing societal biases. This presents a serious concern as users seeking support may encounter prejudiced outcomes based on their race, sex, or other personal traits. It is essential to deconstruct these

read more