Search the Dagstuhl Website
Looking for information on the websites of the individual seminars? - Then please:
Not found what you are looking for? - Some of our services have separate websites, each with its own search option. Please check the following list:
Schloss Dagstuhl - LZI - Logo
Schloss Dagstuhl Services
Within this website:
External resources:
  • DOOR (for registering your stay at Dagstuhl)
  • DOSA (for proposing future Dagstuhl Seminars or Dagstuhl Perspectives Workshops)
Within this website:
External resources:
Within this website:
External resources:
  • the dblp Computer Science Bibliography

Research Meeting 24143

Generative AI for Knowledge Engineering

( Apr 02 – Apr 03, 2024 )

Please use the following short url to reference this page:




Large Language Models have been a game-changer in the area of Natural Language Processing. Generative AI, in general, has shown remarkable capabilities in simulating human behavior, including when tasked to act as an analyst of data sources, such as text, tables, or images. On the one hand, there are convincing examples of using LLMs to transform unstructured data into structured conceptualizations that align with human assessments. On the other hand, GAI systems have been successful in describing, summarizing, and interpreting unstructured sources into a more human-readable form.

The goals of this seminar are threefold:

  • understanding the capabilities and limitations of the state of the art in generative AI for knowledge engineering.
  • identifying best practices and needs for further technical development, while
  • guaranteeing alignment with human expectations and values.
Copyright Achim Rettinger

  • Artificial Intelligence
  • Computation and Language