Introduction to Artificial Intelligence for Public Service Interoperability
Descripción del curso
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.
Público objetivo
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.
Objetivos de aprendizaje
- 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
Ofrecido por
Este contenido es ofrecido por la Comisión Europea. La Comisión Europea es el brazo ejecutivo políticamente independiente de la Unión Europea. Es el único responsable de elaborar propuestas de nueva legislación europea y ejecuta las decisiones del Parlamento Europeo y del Consejo de la Unión Europea
Agenda
- 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
