Although Artificial Intelligence (AI) is a popular topic in society, the media, and academia, purely technical presentations often understate its relationship to humans and society. In accordance with this, this chapter discusses and distinguishes AI domains from other types of AI by focusing on the aspect of generation rather than intelligence, and it looks beyond accuracy to consider trust. The examination includes an introduction to and history of generative AI, the processes underlying generation, its applications, and how humans interact with it. Consideration is then given to the ethical issues associated with generative AI, followed by its impact on society and legal implications. The closing remarks touch on future trends, case studies, public perception, and interdisciplinary approaches. Generative AI is defined as technology that generates new, previously nonexistent content such as images, videos, music, speech, language, or code upon request. These machines “create” content, allowing users to ask questions or issue commands in natural language. The generated content may be text, images, videos, or applications. Typically, generative AI models learn rules, grammar, and general knowledge during training so that they can generate likely and meaningful sentences in a natural language. Before exploring its historical development, it is useful to consider the origins of artificial intelligence broadly. It explores how philosophical ambitions to replicate human cognition evolved into today’s powerful algorithms, setting the stage for the ethical, social, and existential challenges explored in the rest of the book. By grounding AI in its scientific roots and technological milestones, this chapter provides readers with the critical context necessary to appreciate both its promise and peril.