Titular Professors
Not required.
- Understand the limits and challenges linked to the digital society
- Promote reflection on the social impact of artificial intelligence and data-based technologies.
- Identify and analyse the main ethical dilemmas related to data.
- Understand the international and national legal frameworks that regulate the use of data.
- Formulate ethical proposals that respond to current challenges.
ETHICAL AND LEGAL ASPECTS OF DATA
PROF. XAVIER CASANOVAS
1. Dataism: digital society and the crisis of humanism
2. What is data? What can we expect from it? Truth and neutrality in data
3. Justice and equity in a digital society
4. Algorithmic ethics: bias, manipulation, transparency and control.
5. Ethical and legal frameworks for data protection
6. Building futures and current debates
The course will combine theoretical sessions with the study of practical cases.
Ordinary session: In order to be assessed in the ordinary session, all the activities subject to assessment must have been completed. The assessable activities must be handed in on the dates indicated by the teaching staff. If an activity subject to assessment has not been handed in or completed, it will be recorded in the minutes as "Not submitted" in the session.
Extraordinary session: The assessment criteria are the same as in the ordinary session, so all the assessment activities considered in the course must be submitted. The grades for the activities completed will be kept, pending the completion of the pending activities. In this assessment, the same weighting criteria will be applied as in the ordinary assessment.
The assessment of the subject will consist of a short individual or group work (50% of the grade), plus the completion of a final test to assess the good understanding of the fundamental concepts (30% of the grade) and participation in class through the debates and exercises proposed (20% of the grade)
Use of AI tools: If AI tools are used in any activity, a paragraph must be included indicating why AI has been used and what indications have been used to obtain the results. Failure to do so is a violation of academic honesty policies.
Coeckelbergh, M. (2020). AI Ethics. MIT Press.
Nissenbaum, H. (2010). Privacy in Context: Technology, Policy, and the Integrity of Social Life. Stanford University Press.
Nyholm, S. (2023). This is technology ethics. Wiley Blackwell.
Pego, A. (Coord.). (2024). Leer el futuro. Cultura y tecnociencia tras la posmodernidad (1970-2023). Herder.
Quintana, O. (2023). Sobre la tecnología. Quaderns Cristianisme i Justicia
Rosa, H. (2021). Lo indisponible. Herder
Dieguez, A. (2024). La ciencia en cuestión. Herder.
Esquirol, J. M. (2011). Los filósofos contemporáneos y la técnica. Gedisa.
Floridi, L. (2013). The Ethics of Information. Oxford University Press.
O'Neil, C. (2016). Armas de destrucción matemática: Cómo el Big Data aumenta la desigualdad y amenaza la democracia. Capitan Swing.
Periano, M. (2019). El enemigo conoce el Sistema. Debate.
Veliz, C. (2020). Privacy Is Power: Why and How You Should Take Back Control of Your Data. Bantam Press.