Introduction to Artificial Intelligence for Public Service Interoperability
Detalhes do 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.
Target audience
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 aprendizagem
- 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
Oferecido por
Este conteúdo é oferecido pela Comissão Europeia. A Comissão Europeia é o braço executivo politicamente independente da União Europeia. É o único responsável pela elaboração de propostas de nova legislação europeia e implementa as decisões do Parlamento Europeu e do Conselho da União Europeia.
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
