Unifying Terminologies Toward a Shared HHAI Vocabulary

Abstract

As the field of Hybrid Human-Artificial Intelligence (HHAI) grows, various efforts have emerged to define its core terminology. This poster presents initial results from an interactive, international workshop aimed at consolidating these efforts into a cohesive, unified vocabulary. We present the key elements of this vocabulary, i.e. (i) actors and teams, (ii) processes and tasks, (iii) methods and metrics, and discuss the implications of this terminology for the design of human-AI (HI) systems. We believe that a well-defined shared vocabulary will serve in the long run as a catalyst for exchange and collaboration across the research community.

Accepted for Hybrid Human AI (HHAI) conference 2026.

Authors

Maaike H. T. de Boer, Myrthe L. Tielman, Ilaria Tiddi, Victor de Boer, Davide Dell’Anna, Stephanie Kramer, Janin Kock, André Meyer-Vitali, Chiara Natali, Michel Oey, Janet Rafner, Jacob Sherson, Francesca Urgese, Michael Van Bekkum, Thomas Schmid


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DOI

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The HHAI Conference

APA