What describes autonomous systems in AI?

Autonomous systems in AI are defined by their ability to perform tasks without the need for human intervention. These systems utilize advanced algorithms and machine learning techniques to analyze data and make decisions on their own, enabling them to operate independently in various environments. This independence allows for increased efficiency and the ability to work continuously, which is a fundamental characteristic of autonomous systems.

In contrast, options describing systems that operate under human supervision or require constant updates imply the absence of true autonomy, as they rely on human input and oversight to function. Moreover, while systems designed for entertainment purposes may be autonomous, this description is too narrow and does not encompass the broader applications of autonomous systems across different fields, such as robotics, transportation, and industrial automation. Therefore, the defining feature of autonomous systems is their capability to function and make decisions autonomously without direct human control.