Blog

Part 19: Language models with and without personal data

We have explained the technical aspects of a large language model in part 17 of our blog. But what conclusions can we draw from this in terms of data protection? Does an LLM contain personal data within the meaning of the GDPR and...

Part 18: The most important compliance requirements for AI

The use of artificial intelligence raises numerous compliance issues. We think of data protection, copyright and the AI Act, as well as other topics such as non-discrimination and explainability. We have summarised the 18 most...

Part 17: What is inside an AI model and how it works

If we want to apply the current rule of law to artificial intelligence, especially in the field of generative AI, then we need to understand what the AI models, which are the heart of an AI system, are all about. This...

Part 16: How company can ensure transparency for their use of AI

According to certain data protection experts, data protection always requires it, the EU AI Act explicitly only does so in certain cases, and in "ethics" it is a basic requirement: transparency in the use of AI. But when and how...

Part 15: What you should legally consider when retaining AI providers

The majority of our clients use generative AI primarily in the form of online services. There are a large number of providers on the market. They all make bold promises, but their contracts are often insufficient. But what should...

Part 14: Copyright and AI: How to protect yourself in practice

In addition to concerns about data protection and confidentiality, the fear of copyright infringement is the second major obstacle for many when using artificial intelligence. In practice, however, the risk is not very high, at...

Part 13: AI in Human Resources

The use of artificial intelligence (AI) is still a relatively new technical phenomenon but it is already having a fundamental impact on all areas of economic life. This also applies to human resources (HR) – where various...

GAIRA now with an AI Act Check, an additional DPIA and in German

The free tool we developed to assess the risks of generative AI applications has been expanded to include an AI Act Check and a small DPIA and translated into German.

We released the first version of our "Generative AI Risk...

Part 12: Feeding AI: How to commercialize data sets

In order to generate appealing output, AI models are to be fed with data. This offers owners of data sets new ways to commercialize data, as they can license data to third parties. In part 12 of our AI blog series, we highlight...

Part 11: Fair play with AI: How sports organisations may use athlete data

AI offers many areas of application for improving athletes' sporting performance and preventing injuries. However, it is not only athletes themselves who have an interest in their comprehensive AI-processed data, but also the...