This course

This self-taught learning module has been developed by the Cyprus Center for Algorithmic Transparency (CyCAT) team at the Open University of Cyprus. Specifically, it constitutes a deliverable for the H2020 project, CyCAT. Through the materials that we have created and/or curated, we aim to share with you what we have learned during the project, in order to help you gain a high-level understanding of the field of Fairness, Accountability, Transparency and Ethics (FATE) in Artificial Intelligence (AI). The module is designed to be accessible to a wide audience of researchers, students and practitioners interested in the ethical and social implications of modern, data-driven AI systems. It should be noted that we use the term “AI” in the same general manner as put forward in the European Commission's February 2020 White Paper on AI, “a collection of technologies that combine data, algorithms, and computing power.

As our team consists of researchers who hold a background in the computer and information sciences, you will find that our module is focused primarily on empirical approaches to FATE, coming out of these fields. In other words, we shall not cover the FATE approaches coming out of fields from the social sciences and humanities, such as law, political science or philosophy, although learners will certainly notice the interdisciplinary nature of many FATE researchers from the computer and information sciences.