Certification and Trustworthy AI
Authors: Iana Kazeeva (Software Competence Center Hagenberg) , Simon Schmid (Software Competence Center Hagenberg) , Bernhard Nessler (Software Competence Center Hagenberg)
Anthropomorphic terminology with respect to artificial intelligence systems has become commonplace both in AI expert and non-expert user circles. While anthropomorphic terminology in general has deep roots and has been widespread in many areas of human life, it poses significant risks, ranging from misguided expectations to ill-considered legislation, when applied to artificial intelligence. This article aims to contribute to a better understanding of AI systems at a fundamental level by analyzing some of the most widely used anthropomorphic terms in AI: "reasoning", "autonomy", and "understanding". While admitting that avoiding the use of anthropomorphic terminology in AI seems impossible, the authors aim to equip non-technical, particularly legal, experts with knowledge and understanding that would assist them in their professional engagement with AI systems.
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How to Cite: Kazeeva, I. , Schmid, S. & Nessler, B. (2026) “Anthropomorphic Terminology in Artificial Intelligence”, Proceedings of the Austrian Symposium on AI, Robotics, and Vision. 3(1).