The art of artificial intelligence (AI) technologies is going through various layers of evolution, which include narrow AI (ANI), general AI (AGI), and eventually super AI (ASI). This chapter will examine the evolution of these AI layers, using various approaches that reveal the differences among each of the AI layers, specifically within the realm of computer engineering. Following the prevailing literature on the subject, the analysis will specifically examine the data-oriented, narrow, and specific approach of ANI, the high-level, flexible approaches of AGI that relate to learning, and the optimizing, transdisciplinary approach of ASI, along with the superhuman characteristics of the latter. Also, the analysis will examine the ethical threats of AI, the international frameworks of AI governance, such as the EU AI Act, OECD, and UNESCO, and the strategies of Turkey. Lastly, the chapter will examine the prevailing emerging trends of AI.