ΑΙhub.org
 

Making Europe a leader in AI: in conversation with Venki Ramakrishnan, Antoine Petit and Martin Stratmann


by
09 October 2020



share this:
AI-Europe event

An online event organised by the Royal Society, the Centre National de la Recherche Scientifique (CNRS) and the Max Planck Society took place on 7 October. It focussed on AI in Europe and considered topics such as European collaboration, trustworthy AI and the role of regulation.

Involved in the discussion were Venki Ramakrishnan, President of the Royal Society, Antoine Petit, Chairman and Chief Executive Officer of the Centre National de la Recherche Scientifique (CNRS), and Martin Stratmann, President of the Max Planck Society. We also heard from Marta Kwiatkowska (University of Oxford), Stéphane Mallat (Collège de France) and Nuria Oliver (Commissioner for AI Strategy and Data Science, Valencian Region, and also representing ELLIS).

You can watch the event in full below.

It was noted that Europe has been a leader in considering the social and ethical implications of AI. However, the participants were keen to stress that in order for Europe to compete with the USA and China, all European countries must continue to collaborate and work together to advance research. Key to unlocking Europe’s potential to become a leading research destination for AI will be the ability to attract talent.

Another point highlighted concerned the importance of links between academia and industry, with the general feeling being that there is much progress required in this area. AI will change the job market and careful management of the transition will be key. The participants also stressed the need for domain experts to be involved in AI development and deployment.




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Interview with Yash Saxena: how is external knowledge used in AI systems?

  15 Sep 2026
What happens to information from external sources as it moves through an AI system?

When AI art has no author: Study finds generated images often can’t be traced to training data

  14 Sep 2026
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

AI in nature conservation: powerful tool or dangerous shortcut?

  11 Sep 2026
AI provides opportunity for future biodiversity conservation but introduces risks .

Improving the process for large-scale recommender systems: an interview with Haruka Kiyohara

  10 Sep 2026
Credit-assigned policy gradient for early stage retrieval in two-stage ranking.

The Machine Ethics podcast: Data Collective with E.M. Lewis-Jong

Ben chats to E.M. Lewis-Jong about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, and more.

AI for ethology: an interview with Isla Duporge

  08 Sep 2026
Deep learning is becoming a powerful tool for understanding animal behaviour and tracking populations.

AI in cardiology: The path to practical application carries risks

  07 Sep 2026
Can artificial intelligence help us better combat cardiovascular diseases? Legal researcher Hannah van Kolfschooten urges caution, as there are still many legal issues that need to be resolved.

AI-powered camera system offers low-cost way to monitor bumblebees

  04 Sep 2026
Researchers have developed a semi-automated method that uses remote cameras to survey bumblebees and potentially other insects.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence