Generative Artificial Intelligence

The general objective of the research is to determine advances related Generative Artificial Intelligence. Methodology, in this research, 47 documents have been selected, carried out period 2014 - 2023; including: scientific articles, review articles and information from websites recognized organizations. Results, Intelligence demonstrating its importance various human activities, making it necessary use ethically responsibly. Conclusions, intelligence has evolved predictive generative. Key Techniques: Variational Autoencoders (VAEs), Adversarial Networks (GANs), Autoregressive Models. Countries are establishing standards for ethical AI, while respecting rights. Currently, AI many applications activity, but necessary. Various countries regulations regard. specific objectives identify software Applications: Generating realistic images, creating natural language text, composing music. artificial (AI) tools, such as Bard, ChatGPT, GitHub CoPilot.