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The Aura in the Machine: Genealogy and the Status of the Work of Art in the Generative Era

arXiv 2607.17940 ↗First posted 20 Jul 2026cs.CY cs.AIcited by 0

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Abstract (arXiv)

This paper frames Generative Artificial Intelligence (AI) not as an unprecedented technological rupture, but as an industrial-scale manifestation of a deeply rooted historical process. Through a genealogy of generative arts, it shows how AI's questions on authorship and creativity have precise historical precedents. A taxonomy of generative systems is proposed across three functional categories (medium, artwork, instrument), the attribution of which is editorial rather than ontological. From individual cognitive atrophy to Model Collapse, the systemic risks of creative automation are identified; environmental enrichment is proposed as an antidote. The role of the artist undergoes a radical metamorphosis: from craftsman of the object to entropic agent, systems designer, explorer, and negentropic curator. This pipeline-based taxonomy rests on a specific premise: the algorithmic system remains medium, instrument, or artwork, while creative agency resides in the humans distributed along it. Algorithmic Repetition is introduced as the aesthetic degeneration of aligned generative systems; the Benjaminian aura does not dissolve in the generative era but condenses upon the productive system. Manifestation is proposed as a third ontological status for generative works, transcending the dichotomy between original and copy. To support the proposed theses, two complementary aspects are examined: the radicalization of distributed authorship; and the reevaluation of older generative models, whose instability constitutes an aesthetic degree of freedom lost by recent ones.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 19 of its 96 references that are in the map. First posted on arXiv 20 Jul 2026.

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19 of 96 references.

References · 19

  1. 2017Attention Is All You Needcited by 60,361
  2. 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 4,718
  3. 2017Deep reinforcement learning from human preferencescited by 3,912
  4. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,300
  5. 2019The Curious Case of Neural Text Degenerationcited by 2,916
  6. 2022Emergent Abilities of Large Language Modelscited by 2,512
  7. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,245
  8. 2022Survey of Hallucination in Natural Language Generationcited by 2,075
  9. 2018Datasheets for Datasetscited by 1,386
  10. 2024M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillationcited by 1,073
  11. 2023ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generationcited by 1,045
  12. 2023Are Emergent Abilities of Large Language Models a Mirage?cited by 523
7 more
  1. 2022Do Users Write More Insecure Code with AI Assistants?cited by 192
  2. 2024Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviewscited by 164
  3. 2024Homogenization Effects of Large Language Models on Human Creative Ideationcited by 127
  4. 2025Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Taskcited by 106
  5. 2017Hierarchical Clustering: Objective Functions and Algorithmscited by 60
  6. 2019An Interaction Framework for Studying Co-Creative AIcited by 19
  7. 2024Machine Learning Processes as Sources of Ambiguity: Insights from AI Artcited by 7

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  2. 2025Context-aware Multimodal AI Reveals Hidden Pathways in Five Centuries of Art Evolution
  3. 2024Equivalence: An analysis of artists' roles with Image Generative AI from Conceptual Art perspective through an interactive installation design practice
  4. 2026Who Chooses the Artwork? Curatorial Agency and Distributed Intent in Botto ↗
  5. 2026Creativity in AI as Emergence from Domain-Limited Generative Models
  6. 2026Evolution & Foundation: AI Shares Creative Control
  7. 2025Between Puppet and Actor: Reframing Authorship in this Age of AI Agents
  8. 2024AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks