Technology sovereignty is about keeping control, not geography

Technology sovereignty has taken center stage as governments embrace AI tools and modern digital infrastructure. The focus is on control over technology, rather than location. For governments, sovereignty means visibility into system operations, understanding decision-making processes, overseeing data, and retaining flexibility to adapt to changing circumstances.

Geography plays a role, but the ability to govern technology throughout its lifecycle is key to lasting sovereignty. When circumstances change, the level of control an organization retains determines sovereignty. Strong technology foundations enable governments to respond, maintain essential services, and make decisions with confidence.

Governments benefit from global expertise and innovation, but the priority should be creating technology environments that preserve government control while leveraging this innovation. Data is the foundation of sovereign technology. Proper governance of data, especially in the context of AI, is crucial. Public sector data often resides across different departments, platforms, and environments, making integration vital for a comprehensive and trustworthy view of information.

Strong data foundations support transparency, which is essential for building confidence in AI-driven decisions. As public bodies explore AI applications, accurate, accessible, and well-governed data becomes paramount. Choice and resilience are essential components of technology sovereignty. Governments need the freedom to adopt new technologies, work with various providers, and adapt systems as requirements evolve.

Interoperability, open standards, and portable data enable flexibility, allowing different technologies to work together and facilitating smooth transitions. A diverse supplier ecosystem increases competition, fosters innovation, and strengthens public bodies' ability to respond to changing circumstances. As AI systems become more capable of complex decision-making, transparency is increasingly important.

Governments must have clear visibility into how AI systems operate, the data they process, and the logic behind their outputs. Effective governance provides the necessary oversight to monitor performance, identify issues, and assess outcomes. Explainability, auditability, and human oversight are crucial for responsible AI adoption, ensuring accountability for the decisions supported by AI technology.

Ultimately, while governments can collaborate with private organizations for infrastructure, software, and expertise, public accountability remains with the government. Procurement decisions should consider functionality, cost, and governance alongside questions of data control, transparency, interoperability, and long-term flexibility.

By maintaining control over technology and fostering a transparent, resilient, and accountable ecosystem, governments can harness the benefits of AI while safeguarding their interests and maintaining trust with citizens.