Transmission Summary: Strengthening Cross-Atlantic Alliance in Artificial Intelligence
The Center for Data Innovation recently hosted a conversation with five experts to discuss AI collaboration between Canada, the European Union, and the United States. The discussion, held on July 3, aimed to explore potential opportunities and challenges in this area.
One of the key points discussed was the exempting of highly skilled AI workers from work permits for short-term projects and accelerating visa and work permit applications for longer-term projects in Canada. This move is seen as a way to attract top talent and boost the country's AI sector.
The EU and the United States have a significant history of R&D cooperation, making AI an easily integrable area for transatlantic cooperation. Both the EU and Canada believe in open science and strong international collaboration, driving a deep and rich collaboration on science. The EU, in fact, is Canada's second largest market for R&D partnerships.
Eline Chivot, Senior Policy Analyst at the Center for Data Innovation, highlighted the need for the United States and EU to overcome difficulties in their relationship to enable deeper digital policy cooperation. Kristine Berzina, Senior Fellow at the Alliance for Securing Democracy and the German Marshall Fund of the United States, noted that the relationship between the United States and the EU is not as healthy as it was four years ago, with increasing distrust, particularly on economic relations.
Chivot also noted that greater transatlantic cooperation could help push back some of China's nationalist tendencies, and the EU, the United States, and Canada could potentially cooperate with China on AI. However, there is a common interest between both sides of the Atlantic to address the prospect of a rising China dominating the AI field, potentially putting the United States, Canada, and the EU at a disadvantage across key sectors of their economy.
Wolfgang Wittke, Advisor to the Head of Secretariat of EUREKA, asserted that transatlantic research ties are powerful and stable, with a high number of cooperation agreements increasing over time. The EU is struggling with commercially relevant AI applications and a disconnect between AI talent and funding. Fragmentation of investment and spending on AI across the EU is an issue, with the UK, France, and Germany leading.
However, the share of Canadian companies in the AI field is growing by 30% year over year, with now more than 800 companies and one of the world's fastest startup creation rates. The United States, the United Kingdom, and several European countries including Germany (despite some recent decline in overall innovation ranking) are the strongest investors and researchers in AI within the transatlantic community. The US remains a global leader, while Europe, led by countries like Germany, Sweden, and the Netherlands, is investing heavily in AI research, infrastructure, and integration into the economy.
The experts also discussed opportunities for deeper research ties, government project coordination, global standard promotion, and common value protection in the transatlantic community. Both the EU and the United States are developing AI strategies that focus on ethical and socio-economic elements such as education, job security, and the prevention of discriminatory practices.
Wittke stresses the importance of setting appropriate frameworks for AI development and integration in European society, particularly in education and skills. Lambert emphasizes the need for building confidence in AI products and trust in regulatory frameworks, ensuring comparability and similar protection levels. Businesses can play a critical role in facilitating cooperation on AI at the transatlantic level.
A more collaborative framework that includes Latin America and Africa is needed, and Europe should speak with one voice on the global stage. The EU can learn from partners like Canada on how to overcome the lack of strong building blocks for AI, such as in AI talent retention. For this relationship to be efficient, the EU should settle on a clearer direction for AI and keep in mind that industry must be able to translate ethical considerations in practice.
In conclusion, the conversation highlighted the potential for deeper transatlantic AI collaboration, but also the challenges that need to be addressed. With the right strategies and cooperation, the EU, the United States, and Canada can take a leadership role in ethical, social aspects, the implications for education, and society regarding AI, potentially influencing China's compliance.
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