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KIT sets standards: New guidelines for generative AI in studies!
The KIT in Karlsruhe adopts guidelines for the use of generative AI, promotes digital education and ensures scientific integrity.
KIT sets standards: New guidelines for generative AI in studies!
On July 2, 2025, the Presidium of the Karlsruhe Institute of Technology (KIT) New guidelines for dealing with generative artificial intelligence (AI) were adopted. These guidelines are intended to promote the integration of AI systems that generate new content into various areas such as research, teaching, transfer, administration and infrastructure. In a world in which digital technologies increasingly dominate, KIT strives to shape this actively and responsibly.
Professor Kora Kristof, the Vice President for Digitalization and Sustainability, highlights the importance of capitalizing on the opportunities offered by generative AI while maintaining scientific integrity, ethical responsibility and data protection. In order to meet these demands, KIT offers support and various AI tools.
Cautious approach to generative AI
German universities are reluctant to use generative AI in education, partly due to concerns about plagiarism, data protection and the potential devaluation of academic achievements. The new guidelines at KIT call for a critical evaluation of the results generated by generative AI tools. Students and employees are also obliged to comply with data protection and copyright regulations as well as the standards of good scientific practice.
In addition, KIT is responding to the increased need for digital educational competence. An innovation space for generative AI has been set up to help employees and students become “genKI-fit”. The development of AI tools also brings with it challenges, particularly in relation to the selection and use of the available tools in studies and teaching.
Risks and opportunities
Another perspective on the use of generative AI in educational institutions can be found in the analyzes of Goethe University Frankfurt. The current market offers numerous innovative, often free AI tools, but this also entails significant risks. These include copyright infringement, inadequate data protection and a lack of equal opportunities between users, as the powerful models are often only available for a fee.
However, an AI ToolLab was set up at Goethe University, which acts as a community of practice and deals with testing tools. The aim is to continuously develop the tools and offer them as a service for the entire university.
In many universities, the focus is on both responsibility for dealing with generative AI and the development of corresponding training offerings. The approaches taken at KIT and other universities reflect the desire to realize the benefits of AI in education while at the same time creating the necessary framework conditions to minimize risks.