This article on the ethics of artificial intelligence, based on image generation, contains a comprehensive analysis of the ethical and practical dilemmas associated with AI. In the introduction, we highlight the widespread impact of AI on human society and emphasize the importance of addressing the ethical dilemmas arising from its use, distinguishing in areas such as decision making in autonomous vehicles. The methodology proposed includes literature review, ethical self-assessment using specialized tools, and case study analysis to identify ethical and unethical patterns.  The results achieved reveal that the models are capable of generating high quality images in an ethical manner, avoiding the promotion of harmful stereotypes. However, the presence of biases and lack of transparency in the model is determined. Practical ethical considerations for the use of the model in real app...

The purpose of this article is a proposal for a facial recognition system with liveness techniques for access control using neural networks. The main focus has been aimed at improving the security of access to a system through the application of artificial intelligence in biometrics, avoiding any type of fraud and impersonation. Python was used along with the following libraries like Tkinter, Cv2, Numpy, PIL, Imutils, Mediapipe, Os, Math, Dlib, Face-recognition, Csv, Tkcalendar and Bcrypt. The results obtained by carrying out 40 tests with a real person were a similarity accuracy of 82,11%, on the other hand, to verify that the person is carrying out a live recognition, 20 tests were carried out with the photograph of that person, in this case, the system did not allow entry since the liveness verification was not met, thus concluding that the recognition system is effective and guarante...