Introduction to Artificial Intelligence for Public Service Interoperability
Description du cours
As AI models become more and more
powerful in linking data together and extracting and linking it based on its
semantics, different methods and approaches have been proposed to apply AI to
support interoperability. At the same time, different proposed approaches have
shown that interoperability can support AI by providing data that is of
assessed quality.
This course will provide an
introduction to the fundamentals of AI for interoperable public services,
covering the concept of Artificial Intelligence, and its components, the legal
and policy contexts, methods to support interoperability through AI, challenges
and example applications.
Public cible
Policy makers, Members of EU public administrations who want to learn about basic aspects of AI and Interoperability and approaches to support Interoperability through AI and vice-versa.
Objectifs d'apprentissage
- know what an AI system is
- understand the basic components of an AI system
- understand the challenges related to data quality in the context of AI systems performance
- understand the 4 interoperability layers of the EIF
- know the basics on AI Act and EI Act
- understand the basic aspects of AI supporting interoperability and apply them in their work
Offert par
Ce contenu est offert par la Commission européenne. La Commission européenne est le bras exécutif politiquement indépendant de l'Union européenne. Elle est seule chargée d'élaborer des propositions de nouvelle législation européenne et elle met en œuvre les décisions du Parlement européen et du Cons
Programme
- 1. Course overview and introduction
- 2. Introduction to AI and its components
- 3. Introduction to interoperability
- 4. AI supporting IOP in public administration in the EU Member States
- 5. Conclusions and next steps
- Quiz
- Certificate of Completion
