AI Update: Who Controls Our Health Data? Focus on digital sovereignty

The increasing use of AI in healthcare has led to an intense discourse about the control and protection of health data. While AI systems are able to detect patterns and make predictions, the question of data sovereignty and data security is becoming increasingly important. Health data is sensitive information that is often processed across multiple systems and providers. This creates not only technical but also legal challenges that can influence the trustworthiness of the systems.

A central aspect is the question of who has control over this data. In many cases, data is managed by third parties, which can lead to risks in terms of data security and confidentiality. At the same time, the need for transparent and secure data processing is increasingly emphasised. In the healthcare sector in particular, it is crucial that patients and users are informed about the use of their data and have the opportunity to influence the processing.

The use of open file formats such as ODF plays an important role here. Such formats enable higher digital sovereignty, as they function independently of specific software platforms and reduce dependence on proprietary systems. This puts control of data back into the hands of users, which is especially important in digital healthcare.

Another aspect is the integration of AI systems into everyday applications, such as fitness trackers that provide AI health advice. While such devices can provide useful information, they require a clear definition of data responsibility. The use of AI tools in healthcare therefore requires not only technical, but also ethical and legal frameworks to protect the rights of users.

In addition, there are browser extensions that remove unwanted functions such as AI tools or telemetry. Such solutions underscore awareness of privacy and the need to maintain control over digital processes. They enable users to determine their data and the use of their devices themselves, which is of great importance in an increasingly digitalized world.

Overall, control over health data is a central issue that encompasses both technical and ethical dimensions. Ensuring data sovereignty and transparency of data processing is critical to gaining user trust while reaping the benefits of AI technology.