Zitationsvorschlag

Nikiel, Slawomir: Concept Art Design and Generative Artificial Intelligence, in Bienert, Andreas, Emenlauer-Blömers, Eva und Lengyel, Dominik (Hrsg.): EVA Berlin 2025. Electronic Media and Visual Arts: 28th Issue of the EVA Berlin Conference, Heidelberg: arthistoricum.net, 2025 (EVA Berlin, Band 28), S. 71–76. https://doi.org/10.11588/arthistoricum.1568.c24041

Identifier (Buch)

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

Veröffentlicht

10.12.2025

Autor/innen

Slawomir Nikiel

Concept Art Design and Generative Artificial Intelligence

We can observe exponential progress in Artificial Intelligence (AI) resulting in even wider popularity of generative and digital art. AI based generative art has showcased a variety of applications from digital paintings to literature/storytelling, music and architecture. Despite some hoaxes and unsettling forecasts that AI art will make human artists obsolete, there has been little focus concerning the practical impacts of AI based generative art on the creative industries. In this paper, both positive aspects and biases in the generative art design applications are discussed. Viewing from the lens of concept art, the practical impacts of these tools are discussed. Leveraging available AI design tools it is highlighted how current generative AI tools methods may change the process of concept art creation despite various types of biases/glitches. The analysis is illustrated through a case study and is followed by results of survey performed among students of Art and Design at the University of Zielona Góra.