ΑΙhub.org
 

CLAIRE to launch four new offices across Europe


by
14 May 2021



share this:

CLAIRE roadshow
The Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE) has announced the launch of four new offices. These will be located in Zürich, Oslo, Paris and Brussels and will complement the existing offices in The Hague, Prague, Rome and Saarbrücken. There will be a launch roadshow beginning on 26 May which will take the form of a series of virtual events.

For each event, the offices will invite national and international speakers, including government representatives and panellists from various areas of AI, to talk about topics related to the designated focus area of the respective office. The launch timetable is as follows:

CLAIRE roadshow events

Each CLAIRE Office has its own focus in supporting work on current topics around European and human-centred AI research, AI for good and AI for all. The Belgian office will focus on European AI policy, the Swiss office will concentrate on AI for Good and collaboration with NGOs committed to that goal. The Norwegian office will work on AI-related topics around start-ups, and the French office will focus on Private-Public-Partnerships (PPPs).

About CLAIRE

The Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE) is an organisation created by the European AI community that seeks to strengthen European excellence in AI research and innovation, with a strong focus on human-centred AI. CLAIRE aims to ensure that societies and citizens across all of Europe, and beyond, benefit from AI as a major driver of innovation, future growth and competitiveness, and to achieve world-wide brand recognition for “AI made in Europe”.

Further information about the offices’ focus areas, panellists and the programmes for the official openings will be provided here.



tags:


AIhub is dedicated to free high-quality information about AI.
AIhub is dedicated to free high-quality information about AI.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Interview with Deepika Vemuri: interpretability and concept-based learning

  24 Apr 2026
Find out more about Deepika's research bridging the gap between data-driven models and symbolic learning.

As a ‘book scientist’ I work with microscopes, imaging technologies and AI to preserve ancient texts

  23 Apr 2026
Using an array of technologies to recover, understand and preserve many valuable ancient texts.

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

Causal models for decision systems: an interview with Matteo Ceriscioli

  21 Apr 2026
How can we integrate causal knowledge into agents or decision systems to make them more reliable?

A model for defect identification in materials

  20 Apr 2026
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

‘Probably’ doesn’t mean the same thing to your AI as it does to you

  17 Apr 2026
Are you sure you and the AI chatbot you’re using are on the same page about probabilities?

Interview with Xinwei Song: strategic interactions in networked multi-agent systems

  16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.

2026 AI Index Report released

  15 Apr 2026
Find out what the ninth edition of the report, which was published on 13 April, says about trends in AI.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence