AI surveillance in the EU: data shortages and challenges

The European Union plans to monitor AI agents in real time to reduce risks and abuse. This project aims to ensure a transparent and secure use of AI technologies. However, it is clear that the necessary data for effective monitoring is missing. The EU Commission stresses that comprehensive data collection and availability is crucial for the success of such measures. At the same time, it is criticized that the current infrastructure is not sufficient to provide the necessary data in real time. This raises questions about how data collection can be organised without violating the privacy and rights of users. The discussion about AI surveillance is therefore not only technical, but also ethically and legally shaped. In practice, this means that companies and organizations not only need to develop technical solutions, but also build a clear strategy for data usage and security. Another aspect is the question of how AI models can be developed and used without endangering the security and rights of users. Some experts warn against risk mitigation through insufficient data collection and stress that a balanced approach is necessary. In this context, the role of open source technologies and alternative solutions that can reduce dependence on closed systems will also be discussed. It also shows how AI technologies can be used in software development to increase efficiency, but also to manage risks. The challenges of integrating AI into existing systems are manifold and require careful planning. Overall, the introduction of AI surveillance is not easy and requires a wide range of solutions and strategies. The discussion about AI surveillance is therefore a central point in the development and use of AI technologies in the EU.