DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health assistance. However, these tools often rely algorithms that can reinforce existing societal biases. This presents a serious issue as individuals seeking help may encounter prejudiced outcomes based on their background, sex, or other personal traits. It is essential to analyze these

some great benefits of a static Web site are they had been simpler to host, as their server only required to serve static material, not execute server-facet scripts. This demanded much less server administration and had less probability of exposing security holes. this does not imply that far more significant written content could not be Increased