The Augmented Artist-Mapping AI’s Contribution to Concept Generation in Contemporary Art

DOI

10.2991/978-94-6463-950-6_18How to use a DOI?

Keywords

Augmented Artist; Artificial Intelligence; Concept Development

Abstract

The rapid evolution of Generative Artificial Intelligence (AI) technologies has introduced a fundamental shift in the practice of contemporary art, challenging the traditional definition of the artist and the creative process itself. This paper explores the critical role of AI systems-the “Algorithmic Muse” in augmenting human ideation and concept generation across various creative disciplines.

We begin by mapping the transition from the artist as sole originator to the artist as curator and prompt engineer. Utilizing a theoretical framework that incorporates design thinking and human-computer interaction (HCI) principles, this research analyzes how AI’s capacity for rapid, data-driven concept synthesis impacts the initial stages of artistic production, specifically the exploration of novel aesthetics and the divergence of ideas.

The paper argues that AI’s primary contribution is not the replacement of human creativity, but the expansion of the accessible creative solution space, enabling artists to overcome cognitive blocks and rush the prototyping of concepts. Crucially, we investigate the symbiotic relationship where the human provides the intentionality, critical filtering, and emotional context, while the AI provides the computational power for high-volume aesthetic exploration.

Finally, this study addresses the emerging ethical and philosophical concerns related to authorship, copyright, and the commodification of creative output. The findings underscore the necessity of establishing new frameworks for collaboration that acknowledge AI’s generative power while preserving the essential role of human agency, thereby defining the future practice of the augmented artist.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Diksha Tangri
AU  - Tikendra Kumar Sahu
PY  - 2025
DA  - 2025/12/29
TI  - The Augmented Artist-Mapping AI’s Contribution to Concept Generation in Contemporary Art
BT  - Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM 2025)
PB  - Atlantis Press
SP  - 263
EP  - 277
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-950-6_18
DO  - 10.2991/978-94-6463-950-6_18
ID  - Tangri2025
ER  -