- Abstract
This research is a comparative analysis of human-centric Artificial Intelligence (A.I.) in Europe and the U.S. This research establishes fundamentals that are critical to what makes A.I. human-centric. This research contains eight phases: 1) Lawful A.I.; 2) Robust A.I.; 3) Ethical A.I.; 4) Human-centric A.I.; 5) Current State of A.I.; 6) A.I. in Europe; 7) A.I. in the U.S.; 9) Importance of Human-centric A.I. This research shows that there are still ongoing changes with having a human-centric A.I. and why it is very important to society. This research is the beginning of the making of a successful and reliable human-centric A.I.
2. Introduction
Throughout our history, the concept of what is Artificial Intelligence (A.I.) has been changing since the creation of A.I. However, the core of what A.I. remains the same. The idea of A.I. is thought up as a machine being created that can think and perform like humans (Marr, 2020). The early stages of A.I. started between the 1950s- 1960s. Many researched symbolic and problem-solving methods, as well as beginning to train computers to mimic the basic responsibility of humans and learn human reasonings (Goodnight, 2020). Throughout this research, three important fundamentals are benefits to having a successful human-centric A.I. Those fundamentals are lawful, robust, and ethical, as illustrated in Figure 1. Without these three important factors, there will never be a successful human-centric A.I.