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What is the AI Glossary?

Many terms related to AI are not only understood differently between different disciplines, but also within them. With this AI glossary, a list of definitions from the most important standardization documents, as well as the scientific literature, is compiled for each important term around the topic complex AI. On the one hand, this is intended to draw attention to the danger of talking past each other in the interdisciplinary collaboration that is increasingly necessary in AI-related contexts. On the other hand, it offers the possibility to find deviating definitions of concrete terms quickly and easily.

How did the glossary come into being?

The basis of this work is the glossary that was created as part of the development of the Standardization Roadmap (NRM) KI 2nd edition¹ by DIN and DKE. In an ongoing process, the glossary will be supplemented with further terms and alternative definitions from various sources. For suggestions for additions, the authors can be contacted by mail. Changes to the AI Glossary go through an internal quality assurance process and take place at regular intervals.

Who are the authors?

The authors of this glossary are the members of the Glossary Working Group from the NRM KI 2nd edition:

• Dr. Gerhard Runze works at imbus AG as a senior consultant for embedded systems testing, AI and agile software development. As an AI product owner, he is responsible for quality assurance in AI projects and holds ISTQB® training courses as a trainer - also on testing AI. E-mail

• Prof. Dr. Martin Haimerl is Professor of Medical Engineering and Scientific Director of the Tuttlingen Innovation and Research Center at Furtwangen University (HFU). In particular, he deals with regulatory issues in the field of AI-based medical devices. E-mail

• Marc P. Hauer is a research doctoral student at the Algorithm Accountability Lab at TU Kaiserslautern and is doing his PhD on how to responsibly design software development processes and software systems, primarily AI. E-mail

• Marc P. Hauer is a senior solution architect at TÜV AI.Lab and concerned with questions of certification of AI-based products and services, as well as training around AI. Furthermore he gives talks and workshops about AI at the interface with society, i.a. on behalf of the Trusted AI GmbH. E-mail

• Taras Holoyad standardizes quality criteria as well as a globally homogeneously applicable taxonomy for AI systems on behalf of the German Federal Network Agency. From a research perspective, he is involved in ML-based road traffic classification and semantic similarity identification for texts and images. E-mail

• Otto Obert is a graduate computer scientist, founder and owner of the start-up Main DigitalEthiker GmbH, which particularly stands for a value-based and sustainable implementation of digitalization and digital transformation. He has been a member of the Gesellschaft für Informatik e.V. for over 37 years and has been active in its specialist group on computer science and ethics for over 5 years. He also passes on the know-how he has acquired in decades of professional practice, from a general overview as well as in-depth insights into the development stages of digitization and digital transformation, as a lecturer at the FOM University of Applied Sciences in Munich, speaker and author. E-mail

• Dr. Henrich C. Pöhls is a post-doctoral researcher and project manager at the IT Security Center of the University of Passau and conducts research and teaches on IT security of complex systems; he therefore addresses the question of how to first clearly describe and then also ensure the security of AI systems. E-mail

• Dr. Rustam Tagiew is a scientific officer at the German Center for Rail Transport Research (DZSF). After academic careers in scientific computer science and AI, Rustam has gained professional experience as a tech startup founder, data scientist, and software developer. E-mail

• Jens Ziehn leads the research group Automotive and Simulation at Fraunhofer IOSB in Karlsruhe, Germany, which focuses on solutions for the development and testing of autonomous mobility systems, and which is part of the Competence Center Karlsruhe for AI Systems Engineering (CC-KING). E-mail

AI-Glossary.org in the media:

• Gerhard Runze, Martin Haimerl, Marc Hauer, Taras Holoyad, Otto Obert, Henrich Pöhls, Rustam Tagiew, Jens Ziehn. Ein Werkzeug für eine gemeinsame KI-Terminologie - Das AI-Glossary als Weg aus Babylon, Java Spektrum, 3/2023, S. 42-46.²

Technical credits

The technical framework of the AI Glossary is implemented in PHP and MySQL, and uses the PHP Markdown library by Michel Fortin for the formatting of entries, the PHP implementation of the German phonetic search in the germanphonetic library by Andy Theiler, and the Simple Diff Algorithm by Paul Butler. As the typeface for the page we used the Alegreya family by Juan Pablo del Peral, Huerta Tipográfica. Special thanks to Sergey Materla for testing the security of the site.