Checking date: 19/05/2023

Course: 2023/2024

Ethical and Legal Implications of AI
Master in Applied Artificial Intelligence (Plan: 475 - Estudio: 378)


Department assigned to the subject: Public State Law Department

Type: Compulsory
ECTS Credits: 3.0 ECTS


Identify and recognize the potential benefits and ethics/legal risks of the deployment of AI. Learn and understand the fundamental regulatory issues that have emerged in relation to the deployment of AI, and the relevance of design choices in the architecture of AI. Understand the complexity of the regulatory and policy landscape to address the legal and regulatory issues arising from the use of AI. Learn practical methodologies to evaluate and mitigate the potential risks arising from the implementation of AI. This knowledge should equip students with the ability to weigh and evaluate the development of specific AI applications, to see where potential regulatory and ethical challenges might arise in their use or deployment, and to learn methodologies to be able to give advice on designing AI technologies in a way that mitigates such issues.
Skills and learning outcomes
Description of contents: programme
Data, information and artificial intelligence as legal notions. The protection of personal and non-personal data Special rules for systems that use health and geolocation data. Special rules for intelligent transport systems and for behavior monitoring. The risk management approach in systems using AI techniques The liability regime associated with the creation and exploitation of AI solutions The Electronic Administration and the services of the information society Professional ethics and codes of conduct International ethics and Artificial Intelligence initiatives
Learning activities and methodology
Learning activities Individual work for the study of developed and provided by the teacher theoretical and practical materials. Theoretical and practical classes. Tutorials. Team work Exams Methodology -Read Critique of recommended by the teacher of the subject texts: newspaper articles, reports, manuals and / or academic papers, either for later discussion in class, either to expand and consolidate the knowledge of the subject. -Resolution Of practical cases, problems, etc. posed by the teacher individually or in groups. Exhibition and discussion in class or in the virtual forum of the subject, under the moderation of teacher issues related to the content of matter, as well as case studies. -Production of papers and reports individually or in group -Read of theoretical and practical developed and provided by the teacher in the virtual learning platform educational materials. For the elaboration of the work, at least 2 group tutorials will be organized.
Assessment System
  • % end-of-term-examination 30
  • % of continuous assessment (assigments, laboratory, practicals...) 70
Calendar of Continuous assessment
Basic Bibliography
  • Barrio Moisés . Robot rights. Wolters Kluwer. 2019
  • Gamero Casado, Eduardo . Administrative law for non legal studies . Tecnos . 2021
  • Huergo Lora, Alejandro . Algorithms regulation. Aranzadi Thomson Reuters. 2020
  • Jobin, A., Ienca, M., & Vayena, E. The global landscape of AI ethics guidelines.. Nature Machine Intelligence, 1(9), 389-399;. 2019
Recursos electrónicosElectronic Resources *
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The course syllabus may change due academic events or other reasons.