The guidelines are aimed at people who examine and decide on the use of AI in the company.

The first part of this guide provides background information on the topic of data protection. You will learn about the origins of data protection and the objectives it pursues, as well as specific requirements for controllers and processors. It describes in detail the basis on which data processing can take place, which data protection principles exist and which obligations these lead to for controllers and processors. In this context, you will learn, for example, about the pitfalls of anonymizing data and obtaining consent in the context of employees. In addition, the data protection role model is presented with the help of which decision-makers should be able to classify themselves and their company accordingly. Furthermore, it contains examination schemes on data protection issues relating to the use of AI, for example when it comes to the question of when data is anonymized. The second part of the guideline deals specifically with the use of AI and the data protection requirements and implications. The guide provides information on research data protection, employee data protection and context-specific data protection requirements when using AI.

No special requirements.

Not necessary.