Conference Agenda

This study addresses how ethical attitudes influence the intention to act morally in future industrial engineers, using a model adapted from the UTAUT2 to examine ethical variables and related behaviors. A mixed research with a cross-sectional experimental design was conducted. The sample included 185 industrial engineering students. Data were collected using a questionnaire adapted from the UTAUT2 model and analyzed with SPSS and SmartPLS4. Ethical habits and social influence were the most significant factors in predicting ethical intention. Other factors, such as hedonic motivation, showed limited impact. The model explained 33.6% of the variability. The study highlights the importance of fostering ethical habits and a culture of responsibility in academic training to strengthen ethical decisions in professional practice.

Nowadays, the use of artificial intelligence is used at different educational levels and work fields, from students to people who are in charge of a work team. Therefore, it is important to insert the ethical use of this technology in the teaching and learning process by showing students the advantages and disadvantages or difficulties that they may encounter when using one of these tools, for example, Symbolab, WolframAlplha and ChatGPT, in their learning process. This proposal was developed during the 2024-2 academic semester where emphasis was placed on the use of ChatGPT in the mathematics course with students in the first academic year of their professional training from two private institutions in Lima, Peru. The initiative to insert this tool into the classroom was the result of observing the use of various technological tools by students, identifying that the most used among them was ChatGPT. In this sense, a review of relevant information related to the proposal was carried out that shows the importance of inserting this type of tools in the classroom and the responsibility that students who begin their university studies should have. Finally, it is important to note that these types of activities will have a positive influence if they are taught and explained the correct use of these new technologies that will also be part of their profession.

Training in ethics faces various challenges, due to the presence of unethical acts, greatly affecting the economy, safety, health, and well-being of human beings. Engineering ethics can affect people's lives and bring about change in the community, so there is a great responsibility of engineers who craft solutions that affect people's rights and freedoms. The objective of this study was to identify training actions within the systems engineering curriculum, establishing good practices for each ethical principle based on student evaluation. The results obtained show that the use of ethics case studies managed to identify that the ethical principles: "use of resources", "professional secrecy", "quality" and "loyalty" require greater attention for their effective training. It concluded with a proposal of actions for the formation and strengthening of each ethical principle.

This research presents an analysis of ethics regarding artificial intelligence in education based on articles published in Scopus during 2024. The search was carried out using the key terms in Spanish and English: ethics, artificial intelligence, education. The following categories have been systematized through content analysis: students' perceptions, the articulation of ethics with other principles or topics, reflections of future professionals on ethics, teachers' perceptions, ethical and technical considerations, concerns or problems, and opportunities or challenges. It is concluded that the perceptions of teachers and students are positive, but it is also evident that there are certain problems in their development; but in the face of this, some challenges and opportunities offered by AI are formulated.