Why sovereignty is being discussed anew in the context of AI

In recent years, artificial intelligence has evolved from a specialized research topic to a widely used technology. The public sector is also increasingly faced with the question of whether and how AI can be used sensibly – for example to support administrative processes, in research or in case processing. At the same time, one term is cropping up more and more frequently: sovereignty.

Artificial intelligence | Topics & Trends

What does sovereignty mean – simply explained

At its core, sovereignty describes the ability to act in a self-determined manner. In terms of digital systems, sovereignty means that an organization retains control over its IT landscape, even if it uses modern technologies such as AI. Sovereignty is not a new buzzword in technology, but a strategic response to specific challenges. This is because AI systems intervene in work processes and often have an impact for years. The decisive factor is therefore whether these systems can be operated in a permanently controllable, legally compliant and independent manner.

There are three important aspects to consider for the future-proof use of AI:

  • Technical sovereignty means control over the operation, maintenance and further development of systems. Can solutions be operated in the long term and is it possible to change providers?
  • Organizational sovereignty concerns responsibilities and access controls to the software. Who is allowed to configure, adapt or shut down systems? And who is even able to do this due to the complexity of the systems?
  • Legal sovereignty ensures that the processing, storage and use of data complies with applicable law at all times, now and in the future.

Dependencies increase rapidly, especially with AI. Systems are based on complex models, are often developed externally and access large amounts of data, some of which contain data protection-relevant information.

In addition, there are practical issues that are of central importance for the administration and the judiciary:

  • Will costs remain calculable over the years?
  • Can systems be adapted when laws, procedures or responsibilities change?
  • And what happens if a provider changes its strategy or disappears from the market?

In this context, sovereignty does not mean developing everything yourself. It means consciously shaping dependencies, limiting risks and remaining capable of acting.

Role of Westernacher Solutions

Westernacher Solutions has been supporting organizations in the digital transformation of complex and regulated environments for many years. The focus is not on short-term technology trends, but on sustainable solutions that fit into existing structures and are sustainable in the long term.

Westernacher Solutions sees itself as a strategic partner that classifies technological possibilities, takes organizational implications into account and considers regulatory requirements from the outset. The aim is to use AI responsibly and sustainably: not as an end in itself, but as a supporting tool.

Where sovereign AI is already being used today

Sovereign AI approaches are already being used today, for example to extract metadata (names, addresses, file numbers, etc.) from documents, to assist support staff or to categorize incoming mail documents. Westernacher Solutions relies on AI systems that can be managed in the cloud or locally. The decision-making authority remains with the people and institutions. Clear framework conditions and transparent systems make the application controllable and compatible with existing processes.

Conclusion

Sovereign AI is not a luxury project or a marginal technical issue. It is a prerequisite for responsible digitalization in the public sector. Deciding on the use of AI today also means deciding on dependencies, scope for action and trust in the years to come.

Sovereignty creates the basis for combining innovation and responsibility for the benefit of administration, justice and ultimately society as a whole.

FAQ on the confident use of artificial intelligence

Sovereignty means that organizations retain control over their AI systems, data and processes and can decide independently on their use.

Because AI systems are used in the long term and intervene deeply in processes. Without sovereignty, dependencies arise that entail risks for costs, data protection and adaptability.

A distinction is made between three dimensions:

  • Technical sovereignty (control over operation and further development)
  • Organizational sovereignty (responsibilities and access)
  • Legal sovereignty (compliance with legal requirements)

No. Sovereignty does not mean in-house development, but the ability to operate and adapt systems in a controlled manner and to change providers if necessary.

For example, for document analysis, automatic categorization of incoming mail or to assist employees in support and research.

Your contact person

Dr. Maria Börner

AI Competence Center Lead

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