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Artificial Intelligence (AI) agents play a crucial role in autonomous driving. They are responsible for the decision-making process, real-time processing, safety protocols, and handling ethical dilemmas in driverless cars. These AI agents are designed to mimic human intelligence and make decisions based on the data they receive from their environment.

AI agents use decision-making algorithms to navigate the vehicle. These algorithms process data from sensors and cameras to identify obstacles, recognize traffic signs, and determine the best course of action. They can make split-second decisions, such as when to brake, accelerate, or change lanes, based on the current traffic situation.

Real-time processing is another critical aspect of autonomous driving. AI agents must process vast amounts of data in real-time to operate the vehicle safely. This includes data from radar, lidar, GPS, and other sensors, which provide information about the vehicle's surroundings and its position on the road.

AI agents also implement safety protocols in autonomous vehicles. These protocols ensure that the vehicle operates within legal speed limits, maintains a safe distance from other vehicles, and follows all traffic rules. In case of emergencies, AI agents can take control of the vehicle to avoid accidents.

Despite the many advantages of autonomous driving, it also presents several ethical dilemmas. For instance, in a situation where an accident is inevitable, how should the AI agent decide who to save? These are complex issues that require careful consideration and ongoing discussion.