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Claims

AI: innovation for sovereignty

Contributors

Rodolphe Renac

associate director of Alcimed, a consultancy specialising in innovation and new markets

Thomas Le Goff

lecturer in digital law and
regulation at Paris Télécom

Constance Morales

AI product marketing manager
at Scaleway

The success of ChatGPT — the first conversational agent using AI, developed by OpenAI — pushed Europe to legislate as soon as it was launched on 30 November, 2022, guaranteeing its sovereignty in this rapidly developing area.

The aim is to find a path guaranteeing security, transparency and respect for fundamental rights, without getting sandwiched between the Silicon Valley giants and ambitious Chinese efforts.

The success of such efforts at independence will depend on the ability of European countries to encourage innovation and inward investment.


For once the notion of a global race against time is no exaggeration. There is truly an urgent need to get out in front of an already fast-moving trend to attempt to exercise control over it. With each and every second that passes, artificial intelligence (AI) is getting better and better, at the rate of a student who acquires the entire knowledge of his or her teachers just a week aft er the start of the school year. The challenge facing the world’s decision-makers can be summed up in one figure alone: it took Facebook four years to reach 100 million registered users, while ChatGPT, OpenAI’s generative AI application, reached the same number in less than two months.

This is a socio-technological growth rate that is unmatched in human history, with the two leading global commercial powers currently at the helm: the United States and China. Faced with the lead taken by these two giants, the rest of the world, and in particular Europe, is now scrambling to catch up and avoid a situation comparable to what happened with energy dependence.

An issue that has become a priority

This awareness can be summed up both as a desire of states not to miss the innovation train but also to define an appropriate legal framework that respects a certain number of key principles. These two, seemingly contradictory, dynamics have coalesced around the notion of sovereignty as applied to AI: Sovereign AI.

The three main types of AI

LLM (Large Language Model). These AI models are designed to understand, process and generate text in “natural”, human-like language. They can: write, converse, translate and summarise. This AI type is found in ChatGPT, Google Bard and Microsoff Copilot.

Generative AI Computer Code. These AI models enable the understanding, processing and generation of computer code. They can generate code, fix bugs and improve the structure of existing code. This AI is offered by GitHub Copilot, Tabnine and Kite.

Agentic AI. This AI acts autonomously to accomplish specific tasks or achieve defined goals. These models can interact with their environment, make decisions and perform actions without direct human intervention. This AI is found in Siri, Alexa and Google Assistant among others.

The ease with which the general public has used ChatGPT has made AI a social topic.
THOMAS LE GOFF

Considerations around Sovereign AI range from design to the infrastructure needed to create national or European channels to data security.

Such a challenge has now moved to the top of the agenda for European heads of state. Emmanuel Macron promised last May, at the Viva Technology trade fair in Paris, that France “had the capacity to host the new data centers and to develop new ones,” since this was an issue of national sovereignty. Translation: France, like its European partners, cannot take the risk of entrusting the data collected by AI to foreign companies because this collection represents a strategic issue for the future of Europe.

This desire is now at the heart of technological, political and ethical issues at this dawn of the second revolution in the digital sector, an inflexion point linked to the emergence of generative AI applications. “Until recently, AI was a subject reserved for the arcane world of digital specialists. Then ChatGPT happened… And the ease and the astonishing speed of uptake by the general public made it a social issue, virtually overnight,” summarises Thomas Le Goft, lecturer in digital law and regulation at Paris Télécom and contributor to the Report of the inter-ministerial commission on generative AI published last March. “As soon as people started asking questions like ‘how do you make a bomb?’ the authorities saw the danger.”

The European Union responded by establishing the AI Act in April 2024.

The response from European, public and private actors

This regulation aims to promote an ethical and human-centred AI, enabling the continent to stand out from American and Chinese frameworks, and to impose its own specific values and principles. “The Americans have a so-called vertical approach, where they leave it to each of their individual ministries or agencies to define rules which will aim to protect the consumer. The Chinese are following somewhat the same logic by promoting the notion that technology must promote socialist values. Europe, for its part, is seeking to promote ethical innovation,” continues Thomas Le Goft . He nevertheless notes a change in attitude among Europeans as local players capable of competing with the American giants finally begin to emerge. “From 2023, Germany, Italy and France began to actively promote home-grown innovation and research as soon as they saw the birth of unicorns capable of competing with the Americans or the Chinese. Europeans have been focussing more on the risks of generative AI but they also need to promote the development of their own AI ecosystem.”

Among these companies is Scaleway, heir to Online, the shared hosting site created by Xavier Niel in 1999. In 2023, Scaleway is investing 200 million euros in infrastructure to develop artificial intelligence services and develop the largest centre of computing power on the European continent. Today, the company is “one of the leading suppliers of cloud computing and European AI whose role is to oft er a sovereign alternative to the dominant players in the market,” explains Constance Morales, Product Marketing Manager AI at Scaleway. For the private sector, the question of Sovereign AI is central since it defines the rules of competition in a globalised economy.

For Constance Morales, this is a form of public good that reassures both market players and users. “This framework makes it possible to guarantee the implementation of regional laws and rules as is the case, for example, with the GDPR (the general data protection regulation) which guarantees the protection of the privacy of European citizens by meeting more demanding criteria than an international framework, which is off en less precise. This allows us to avoid dependence on foreign technologies and therefore reduce the risks linked to geopolitical tensions.”

The sinews of war

But given the lead taken by Silicon Valley giants like Google, Microsoff , Meta and their massive investment in generative AI in recent years, catching up may be difficult, if not impossible, for European companies. “These players, through their near-monopoly in the world of technology, have a big head start and short-cuts at their disposal to promote their own products and services. Think about how many companies are using Microsoff Oft ice and discovering new built-in AI features every day…,” Morales continues.

In the columns of the independent information site, The Conversation , Richard Florida, a doctor of urban planning at Columbia University, believes that AI will benefit two regions of the world above all others: the Bay Area of San Francisco in the USA and the Shenzhen Economic Zone of China. He thinks it is unlikely, at present, that other regions will jump on the AI bandwagon unless there is massive investment from both the private and public sectors. Because money, in support of the regulatory framework established by Europe, remains the “sinew of war” and the primary condition for an eft ective and robust Sovereign AI framework. And the member-states, alone or within European financing funds such as Digital Europe or Horizon Europe, are far from being able to compete today with the investments made in the United States and the dizzying amounts announced each week.

As an example, on 4 October, OpenAI announced a new record fundraising of $6.6 billion for the development of ChatGPT, which raised its valuation to a record $157 billion, a level of financial firepower that is far beyond the reach of European players. “Can we compete with the Americans in terms of fundraising?”, Constance Morales questions, already knowing the answer. “No, just compare the latest fundraising eft orts in Europe and the United States. It is also interesting to see how many European companies have to rely on foreign investors to raise comparable funds. Take Mistral AI, which initially received $108 million in funding from European investors but quickly turned to an American fund to raise an additional $385 million in 2023.”

So this is the paradox: European AI companies and ecosystems risk having difficulty developing without the contribution of foreign capital. Last May, Microsoff announced an investment of 4 billion euros in the development of cloud and AI infrastructure in France. Yet it was a decision welcomed more as a sign of the country’s attractiveness for inward investment than as a sign of the health of its eft orts for technological independence.

3 questions to Charles Kantor

CEO and co-founder of H

At just 25 years old, Charles Kantor is CEO and co-founder of H, the new French AI start-up that has just raised $220 million in seed-round capital. Trained at Centrale (Paris) and Stanford University (United States), he is tackling a still unexplored avenue of AI: action models capable of automating a flow of complex tasks to increase the productivity of companies. This new generation of AI, more general and integrated, should see the light of day very soon. A captivating challenge that illustrates the visionary spirit of Charles Kantor and his desire to contribute to Sovereign AI in France.

What is your vision for H?

After the generative AI of natural language processing and generation — LLM, or Large Language Model — like ChatGPT and code-generating AI like GitHub Copilot, we are now pioneering a third wave of AI. Agentic AI models are capable of executing a succession of complex tasks to automate work-flows and so increase people’s productivity. Let’s take the example of recruiting. Extracting information about the candidate on LinkedIn, comparing it with their CV, entering the data into a recruiting platform, connecting it to an interview tool and sending an invitation… Each of these steps must be done manually today because platforms like LinkedIn do not have an API (or interface). H thus allows for the creation of a “pseudo-API” to automate these tasks on platforms without APIs like LinkedIn. This makes agentic AI a resolutely disruptive model, which stands out from existing AI solutions and can be applied to a wide variety of use cases. Our first product — Runner H — has just been released into private beta.

What are your main challenges?

Today, there are no really eft ective cloud solutions for automating tasks. Our challenge is to propose a new, modular approach, based on an H cloud for business. This is a cloud of managed agents, which stands out from existing cloud solutions. To achieve this, we are relying on a specific hybrid strategy. It involves taking innovations from the product to guide research, and using research advances to improve the product. This research/product synchronicity is our great strength, but it requires significant capital to attract the best talents, both in research and in production, and to educate the market about the project with concrete use cases.

What is your view on France’s attractiveness in the race for AI?

France has a real card to play in this technological race by positioning itself as a leader in the areas of infrastructure, resources and AI technologies. Its greatest asset is the excellence of its education in mathematics and its recognised pool of talent in AI. As proof, giants like OpenAI and Anthropic want to open oft ices in Paris and many OpenAI researchers come from INRIA.

A team of French researchers were also behind the first versions of ChatGPT.

The real question is whether France will be able to host companies that are suft iciently attractive, ambitious and pioneering to attract this talent. And that’s exactly what we want to do with H. We have chosen to set up in France to create an important hub to attract the best talent, and thus contribute to promoting France in this field. We are ready to welcome senior talent profiles as well as young graduates, and we plan to create mentoring programmes for those passionate about research, industry and cutting-edge innovation.

Money is a crucial factor, but resources also need to flow to the most competent actors
RODOLPHE RENAC

...Solutions to fill the gap

Should we conclude that Europe’s procrastination, coupled with less inward investment potential, renders the objective of Sovereign AI development and the curbing of the market share of American or Chinese companies obsolete? “Not necessarily,” says Rodolphe Renac, associate director of Alcimed, a consultancy specialising in innovation and new markets. “It is also interesting to see how our countries will position themselves because we are far from being poor at AI. France in particular is very well placed in Europe thanks to its skills in applied mathematics.”

To support his assertion, Rodolphe Renac mentions a study by Stanford University which listed the number of so-called “notable” artificial intelligence models, i.e. those which stand out due to actual, differentiated technological innovation. “The study identified 61 such models in the United States, 21 in Europe and 15 in China. Even if the pace is changing very quickly, this shows that Europe is no bit-player, particularly compared to China.

This allows us to put the orders of magnitude of advances in AI into perspective. Money is a crucial factor, but not the only one, as resources also need to flow to the most competent actors, whether public or private. This will allow us to compete eft ectively and see compelling technologies emerge as a consequence.”

To envisage an innovative industrial and business ecosystem that would also guarantee countries the means to defend themselves fairly and assert their own AI sovereignty, might require a form of global governance, along the lines of the International Atomic Energy Agency, created to ensure the security of nuclear installations and control the objectives of their programmes. “It is indeed a debate to be had,” confides Thomas Le Goft , “but it has not yet been transformed into a concrete project. People are thinking about creating a kind of international AI office that would have harmonisation of AI
frameworks at the core of its mission.”For the moment however, beyond the texts, the future of generative AI is subject only to the continued goodwill of companies and their particular notions of transparency. “Everything depends on the willingness of market players to self-regulate,” analyses Thomas Le Goft , who believes that another counterforce could emerge. I think civil society has a big role to play in this issue of Sovereign AI.” 

AI: 4 Key dates

  • Frank Rosenblatt, an American psychologist invents the perceptron, a neural network capable of learning and making simple decisions. This invention lays the first foundations of neural networks and machine learning.

  • IBM’s supercomputer takes on chess champion Gary Kasparov, as a test of AI’s ability to match the human brain in strategy games. The Russian grandmaster wins the first game, the IBM supercomputer the second

  • Waymo launches the first autonomous, driverless taxi service in Phoenix, Arizona. The project is the brainchild of Sebastian Thrun, co-inventor of Google Street View.

  • ChatGPT,a conversational agent developed by Open AI using generative artificial intelligence, is launched on 30 November. It can answer questions, hold conversations, write, translate or summarise a text.

Illustrations

Ūla Šveikauskaitė
Ūla Šveikauskaitė is a freelance illustrator currently based in Vilnius, Lithuania. Her sources of inspiration are Polish poster art, photography, architecture, boredom, the grotesque and everyday humour.

Text

Frédéric Cannes
Frédéric Cannes is a journalist specialising in the fields of industry and economics.

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