A highly publicised case from 2021 is the so-called child benefits scandal (“toeslagenaffaire”). For years, the Tax Administration used a fraud-detection algorithm that, based on patterns and indirect personal circumstances, mass-labelled families as high-risk.
The tool, intended to guide experts towards analysis and a more detailed review of a family’s situation, began to be used for decision-making about people’s entitlements. What was meant as support for oversight became, in practice, automated decision-making without expert judgement—resulting in unjustified sanctions and severe social consequences for tens of thousands of families.
Because of the systemic changes that followed. They established a rule that an algorithm must not directly determine an individual’s entitlements; at the same time, they published a public register of algorithms used by the public administration, introduced impact assessments, and more.
Yes—but only very thoughtfully and under strict oversight. A review of practice shows that AI-first systems are best introduced:
The AI Act and all related legislation may (still) not have reached a sufficient level of practicality and digestibility, but it has its purpose. Attention in this area is essential if we want to live well in the long run.
It’s finally here – the Global AI Index 2025 (Tortoise Media & Observer). This is a global ranking of countries based on their levels of investment, innovation, and implementation of artificial intelligence, now in its sixth edition.
Key findings at a glance:
Showing similar symptoms to other EU countries—a gap between theory and practice—it ranks 39th globally and 19th among European countries.
The Global AI Index 2024 and Global AI Index 2025 show that Slovenia is making progress, but currently at a slower pace than leading European nations.
The Greek National Documentation Centre (EKT) analyzed the 20 most frequently used services on the gov.gr portal, which together handle approximately 14 million requests annually. The results demonstrate the extraordinary impact of digitalizing public services:
The gov.gr platform consolidates hundreds of public services in one place, utilizing AI for:
Results from the Greek National Documentation Centre (EKT) show the exceptional effects of digitalizing public services. They analyzed the 20 most frequently used services on the gov.gr portal, which together handle approximately 14 million requests annually.
The highest benefit per individual execution is found in:
Because it stems from a focus on the user and the organization’s mission – supporting citizens through procedures that ensure order and justice. AI is a tool for simplification, greater transparency, and faster services, rather than a goal in itself.
After OpenClaw’s big bang, the practices of advanced development teams have moved into everyday use. Agents, as the most powerful AI tool to date, are accessible to everyone—including individuals and teams who may not understand the consequences of misusing this technology.
The most basic information we need to know about agents:
OpenClaw is a purposefully assembled network of assistants that can be deployed relatively quickly (but not necessarily safely!). It therefore consists of a network of agents—“independent digital collaborators who, on behalf of an organisation, understand goals and carry out tasks”*. For example, they prepare reports, perform more complex analyses, respond to email, make reservations, shop, and more. However, you remain responsible for their work.
* according to the AI Services catalogue recently published by AI HUB Slovenia
Agents carry out all of the above with your authorisation and on your behalf. In doing so, they may access sensitive data and use it according to how they interpret your instructions. Therefore, it is critically important that their operation is constrained, monitored, and thoughtfully designed.
Start where you fully understand the processes, permissions, and data. Begin in a controlled environment. Then expand. And, even more importantly, entrust AI-first projects only to the most reliable and responsible partners.
Systems are becoming “agent-native”—this is inevitable. Agents coordinate tasks, run processes across multiple systems, and take over routine work. This is excellent—provided it is implemented with sufficient care and responsibility.
