Definition: Artificial intelligence is the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
Things that computers with artificial intelligence are good at:
- Mundane Tasks = humans get bored and tired, machines don’t.
- Error free processing = AI can only make an error if the program is wrong. If the program it right then the execution will be correct. AI gets all of its information from an online database; the difficulty is making sure that the database contains exactly what will be needed to allow the system to make correct inferences.
- Taking the risk = Artificial Intelligence machines are doing jobs humans either can’t do or would have to do very carefully, such as space exploration. The Mars rover Curiosity is freely roaming Mars as it examines the landscape and determines the best path to take. The result is that Curiosity is learning to think for itself and make decisions about the best paths to travel.
Difficulties of computers with artificial intelligence:
- Potential job losses = As AI computers are used more in the workplace, some human workers may be displaced. Computers are easier to train (program), don’t forget, and can work longer hours.
- Relying on the AI programmers = Since most people will not be able to see or understand the programming inherent in an AI system, everyone must trust the programmers to have written complete and correct code.
- Losing the humanity = AI systems can only follow programs that have been written, they do not have the ability to make a judgement calls. An AI system is restricted to the inputs the programmer created, which will always be more limited than a human assessment.