How AI Models Steal Creative Work — and What to Do About It | Ed Newton-Rex

In this chapter, we delve into the basics of AI in fostering creativity, focusing on three main aspects: artificial creativity versus human creativity, the collaborative potential of AI and humans in creativity, and the role of AI in assessing creativity.

Artificial intelligence (AI) is reshaping creativity by challenging its long-held status as a uniquely human faculty. This study uses bibliometric analysis to reveal AI’s evolution from a passive instrument to an active co-creator that amplifies hum

Through a multilevel theoretical lens, the present paper reviews the extant body of knowledge on creativity at individual, team and organizational levels, and draws a series of propositions on how the implementation of artificial intelligence may affect e

Creativity is core to being human. Generative artificial intelligence (AI)—including powerful large language models (LLMs)—holds promise for humans to be more creative by offering new ideas, or less creative by anchoring on generative AI ideas

We present emerging research relevant to how AI can be used on a continuum of four levels of creativity, from mini-c/creativity in learning to little-c/everyday creativity to Pro-C/professional creativity and Big-C/eminent creativity.

To explore these questions, this article will delve into the evolving relationship between AI and creativity, examining its potential to transform artistic practices, the nature of creative work, and even the broader cultural landscape.

To answer these questions, we first need to address the complex question of whether AI itself can be creative. Many academic articles highlight the array of perspectives and debates.