Analysts at a security firm were tasked with monitoring a series of live cameras to detect possible threats, but this led to user error and missing potential red flags. the firm builds a system that analyzes data from the cameras to identify possible threats and flag them for human attention. which type of automation does this example describe?

Question: Analysts at a security firm were tasked with monitoring a series of live cameras to detect possible threats, but this led to user error and missing potential red flags. the firm builds a system that analyzes data from the cameras to identify possible threats and flag them for human attention. which type of automation does this example describe?

This example describes a type of automation called supervised learning. Supervised learning is a process where a system learns from labeled data, such as images or videos, to perform a specific task, such as classification or detection. The system uses algorithms to find patterns and features in the data that are relevant to the task, and then outputs a prediction or a score for each input. The system can also be trained and improved by feedback from human experts, who can correct or confirm the system's predictions. In this case, the system analyzes data from the live cameras to identify possible threats and flag them for human attention, while the analysts can review the flagged inputs and provide feedback to the system.