Abstract

The development of Artificial Intelligence (AI) has been marked by several waves. It started with its creation in the 1930s, followed by the popularization of computers in the 1980s, the democratization of internet access in the 1990s and 2000s, and finally, the rise of social networks. These social networks brought about a new kind of ‘gold rush,’ centered around users’ attention and the increased time spent on these applications. However, after the launch of the GPT chatbot, a new wave has been rapidly growing: the popularization of generative AIs. These AIs assist with recurring tasks in the daily lives of individuals across various domains. With this context in mind, the present article aims to propose a division of AI development phases. It starts with the stages of data gathering and learning, moves through the cognition phase, and concludes with autonomous processing. This approach seeks to gain a better understanding of the potential impacts that may arise from accelerated and uncontrolled AI development. Consequently, there is an urgent need to consider the legal implications. Specifically, it is essential to understand the challenges posed by highly trained and task-specific AI systems, especially when used in legal sectors dealing with sensitive information. Such systems require special attention. Despite these reservations, AI technologies are fully integrated into the legal world and have become a valuable asset for legal professionals who can wield them effectively.

Keywords

• Artificial intelligence, Popularization, Phases.

License

This work is licensed under a Creative Commons Attribution 4.0 International License.