Introduction to Artificial Intelligence for Public Service Interoperability

Less than an hour

Novice

Course details

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.

Learning objectives

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

Offered by

This content is offered by the European Commission. The European Commission is the European Union's politically independent executive arm. It is alone responsible for drawing up proposals for new European legislation, and it implements the decisions of the European Parliament and the Council of the European Union.