Artificial Intelligence and legal issues – Learning outcome
Identify the practical impacts of responsibility and compensation for damages caused from AI, with specific reference to case-studies.
Identify the practical impacts of responsibility and compensation for damages caused from AI, with specific reference to case-studies.
Indicate the main legal concepts of liability for the conduct and choices made by or through intelligent systems and compensation for any consequential damage.
Recognize that the use of AI requires to be analysed, evaluated and addressed also from a legal point of view.
Identify legislative gaps with respect to the protection of works created autonomously by AI.
Show a positive attitude towards new and challenging demands that can only be met via lifelong learning
Show a positive attitude towards new and challenging demands that can only be met via lifelong learning
Handle challenges, disruption and change and recover from set-backs and adversity
Objectif : Connaitre, sans les maitriser, les principes de l’analyse des données avec les apports des méthodes statistiques multi variées et des techniques de fouille de données.
Objectif : Savoir écrire un rapport d’étude statistique univarié et bivarié.
Objectif : maîtriser des outils statistiques de base permettant de décrire, expliquer, prévoir des variables repérées dans le temps.
European Credit Clearinghouse for Opening up Education
Agreement Number: 2019-1-FR01-KA203-062951
This project has been funded with support from the European Commission. This website reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

