Artificial Intelligence

Abstract

This chapter gives an AI overview by starting to list and compare different terms and definitions in Sect. 2.1. It shows, how important it is to clarify terms beforehand, as there are not always unique definitions and understanding by humans about AI. It highlights that an AI system does not represent a robot or physical machine. The software can be operated on different kinds of hardware systems or platforms but does not require to have any physical shape. Section 2.2 gives an overview of different AI technology aspects. It shows the differences in data computation and progress between humans and computer systems. Section 2.3 describes several AI technologies and highlights the challenge of generated bias. If the AI algorithm gets trained with an already biased data set whether that can happen with consciousness or not, it will not generate a “better human.” The next Sect. 2.4 lists some AI challenges. A current main challenge is that humans still see AI systems as robots or machines and think of physical threats or opportunities. As AI systems can be only software modules, it is recommended to shift the broad society discussions from an attacking Terminator robot to broader ethics and responsibility discussion. Every citizen should take responsibility and proactive actions to shape “Friendly AI” systems. Like every technology, also AI can get abused and used in a not general friendly way. Section 2.5 describes opportunities and risks of AI technology. As humans stopped being goal driven, Section 2.6 highlights the scenario, where future AI systems might overtake the definition of goals for humans. To generate a broad awareness within society to develop and implement AI systems in daily life, it needs acceptance, transparency, and understanding. Section 2.7 gives an overview of a humans-based classification of evolution.