How to Cite

Hamm, Isabelle: Generative AI and Art Mediation: Exploring Personalization, Participation, and Shared Experiences, in Bienert, Andreas, Emenlauer-Blömers, Eva and Lengyel, Dominik (Eds.): EVA Berlin 2025. Electronic Media and Visual Arts: 28th Issue of the EVA Berlin Conference, Heidelberg: arthistoricum.net, 2025 (EVA Berlin, Volume 28), p. 65–70. https://doi.org/10.11588/arthistoricum.1568.c24040

License (Chapter)

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Identifiers (Book)

ISBN 978-3-98501-333-3 (PDF)

Published

12/10/2025

Authors

Isabelle Hamm

Generative AI and Art Mediation

Exploring Personalization, Participation, and Shared Experiences

The use of Artificial Intelligence (AI) in art education offers new perspectives on the interaction between visitors and artworks. This paper explores how AI-based tools and interactive artworks challenge and expand the field of art mediation. The focus is on two case studies: the digital tool xCurator, which encourages visitors to co-curate exhibitions, and Louisa Clement's Representatives, AI-powered dolls that foster intimate and thought-provoking dialogues within exhibitions. While xCurator fosters collective creative processes in the digital realm, Clement’s work invites reflection on intimacy and distance in interactions with AI. The paper applies Katja Kwastek's concept of procedural interaction to demonstrate how AI involves visitors as active co-creators in the mediation process. Additionally, Nicolas Bourriaud’s theory of relational aesthetics is used to highlight how AI-driven artworks can be understood as dynamic social spaces that offer new opportunities for exchange.