Fairness, Accountability, Transparency, and Ethics in Data Processing (FATE)

An interdisciplinary course at Universitat Pompeu Fabra (UPF) including elements of computing, law, and ethics.

SCOPE

The course focuses on three key issues in data processing, addressed from an ethical, legal, and technological perspective:

We will spend about half of the course studying computing technologies for, e.g., anonymizing data, or detecting and mitigating algorithmic bias. The other half of the course we will study different conceptualizations of power around data processing pipelines, analyze bias and discrimination in computer systems from a moral philosophy perspective, and overview the relevant legal frameworks for data processing.


FORMAT

In the 2024 edition (January-March 2024), the course includes:

instructors

Carlos Castillo — UPF, Department of Information and Communication Technologies (Coordinator)

Migle Laukyte — UPF, Faculty of Law

Antoni Rubí Puig — UPF, Faculty of Law

Gloria González Fuster — Vrije Universiteit Brussel, Faculty of Law and Criminology

Practices instructor:

Manuel Portela — UPF


Enrollment

Enrollment is currently open for undergraduate students of data science and computing engineering, as well as students of the master in intelligent information systems, at the Department of Information and Communication Technologies of UPF.

We upload materials of the course on this page for external students who want to access these materials.