Automated Screening Systems leverage advanced algorithms and machine learning to efficiently analyze large volumes of data for identifying patterns or anomalies, enhancing decision-making processes in sectors like finance, healthcare, and security. These systems improve accuracy and speed while reducing human error, but they also raise concerns about privacy, bias, and the need for transparency in algorithmic decision-making.
