At the edge of a generative cultural precipice

TL;DR

This paper discusses the cultural and artistic implications of generative models trained on online art, raising concerns about the future of human creativity and artistic authenticity.

Contribution

It presents a cautionary perspective on the potential cultural consequences if generative models are trained exclusively on AI-generated content.

Findings

Artists are withdrawing their work from online platforms due to copyright concerns.

Generative models increasingly rely on online content, risking a cycle of AI-generated training data.

Potential impact on the authenticity and diversity of visual arts.

Abstract

Since NFTs and large generative models (such as DALLE2 and Stable Diffusion) have been publicly available, artists have seen their jobs threatened and stolen. While artists depend on sharing their art on online platforms such as Deviantart, Pixiv, and Artstation, many slowed down sharing their work or downright removed their past work therein, especially if these platforms fail to provide certain guarantees regarding the copyright of their uploaded work. Text-to-image (T2I) generative models are trained using human-produced content to better guide the style and themes they can produce. Still, if the trend continues where data found online is generated by a machine instead of a human, this will have vast repercussions in culture. Inspired by recent work in generative models, we wish to tell a cautionary tale and ask what will happen to the visual arts if generative models continue on the path to be (eventually) trained solely on generated content.