From Process to Practice – A Case Study in Artmaking Transformation

This presentation explores how emerging Fourth Industrial Revolution (4IR) technologies—such as artificial intelligence (AI), virtual reality (VR), and quantum computing—are transforming artistic practice. The study investigates how these advanced digital tools influence cultural production, from ideation to dissemination. The argument traces the historical evolution of creative cognition theories, including Guilford’s Divergent Thinking model (1950), the Geneplore Model (1992), and modern frameworks like Process Modification (2020). A central case study follows the journey of Polish painter Roman Lipski, who transitioned from traditional landscape painting to AI-assisted abstraction. Collaborating with data scientist Florian Dohmann, Lipski utilized Generative Adversarial Networks (GAN) and Quantum Blur technology to iterate new visual forms rapidly, redefining his artistic identity. The presentation also reflects on the aesthetic implications of these technological interventions—how they affect the artist’s creative voice, audience reception, and the collaborative nature of contemporary artmaking. Butler concludes by highlighting how 4IR tools accelerate artistic innovation while simultaneously raising questions about the future of human creativity in an increasingly digitized world.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-19
DOI
https://doi.org/10.5281/zenodo.15090835
Primary Topic
Aesthetic Perception and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

From Process to Practice – A Case Study in Artmaking Transformation

Zenodo (CERN European Organization for Nuclear Research)
Aesthetic Perception and Analysis
article

From Process to Practice – A Case Study in Artmaking Transformation

article en

Abstract

This presentation explores how emerging Fourth Industrial Revolution (4IR) technologies—such as artificial intelligence (AI), virtual reality (VR), and quantum computing—are transforming artistic practice. The study investigates how these advanced digital tools influence cultural production, from ideation to dissemination. The argument traces the historical evolution of creative cognition theories, including Guilford’s Divergent Thinking model (1950), the Geneplore Model (1992), and modern frameworks like Process Modification (2020). A central case study follows the journey of Polish painter Roman Lipski, who transitioned from traditional landscape painting to AI-assisted abstraction. Collaborating with data scientist Florian Dohmann, Lipski utilized Generative Adversarial Networks (GAN) and Quantum Blur technology to iterate new visual forms rapidly, redefining his artistic identity. The presentation also reflects on the aesthetic implications of these technological interventions—how they affect the artist’s creative voice, audience reception, and the collaborative nature of contemporary artmaking. Butler concludes by highlighting how 4IR tools accelerate artistic innovation while simultaneously raising questions about the future of human creativity in an increasingly digitized world.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 54%
Aesthetic Perception and Analysis
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From Process to Practice – A Case Study in Artmaking Transformation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS