The main objective of this subject is to train students in the development of skills for an adequate treatment of privacy, reliability, transparency and interpretability of models and results associated with intelligent systems. Special emphasis will be placed on identifying and analyzing biases and their impact on the design of Artificial Intelligence (AI) algorithms. In addition to technical aspects, disruptive technologies and specific and general computer tools, aimed at covering all phases of the design, analysis and evaluation of intelligent systems, students will learn to know and understand the social and ethical implications of technology in general and of AI in particular
Teaching guide coordinating center (USC):
https://www.usc.gal/gl/estudos/masteres/enxenaria-arquitectura/master-universitario-intelixencia-artificial/20222023/ia-explicable-confiable-18828-17979-2-102310
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.
Subjects
