This course provides knowledge that complements the technical knowledge of other courses in the MSc program. Specifically, within the framework of this course, lectures will be given on the application of Artificial Intelligence in representative significant scientific fields, with a presentation of the relevant advantages it has compared to the conventional methods of each field. Additionally, the importance of a human-centered approach to systems, the application of human-centered techniques, and the general frameworks of the field will be presented, along with the ethical principles adopted by the European Union and the list of ethical applications of Artificial Intelligence by the AI HLEG. The aim is to understand the requirements of the new legislation on artificial intelligence (AI Act) so that the collection, processing, and use of data and the development of Artificial Intelligence models and solutions are guided by the protection of human rights. Furthermore, the legal implications and the affected areas of Artificial Intelligence, such as justice, security, health, work, and education, will be presented, as well as the possible threats that may arise. Case studies will be used to understand the problems. Finally, within the framework of the course, methodological issues related to research, with a specialization in Artificial Intelligence and Deep Learning, will be presented, covering both the subject of research result publication, writing publications, creation and use of datasets with an emphasis on Findable, Accessible, Interoperable, and Reusable (FAIR) data, the quality of information and its impact on the accuracy of models, and the selection of the right tools for data utilization.