Humankind is entering a novel creative era in which anybody can synthesize
digital information using generative artificial intelligence (AI).
Text-to-image generation, in particular, has become vastly popular and millions
of practitioners produce AI-generated images and AI art online. This chapter
first gives an overview of the key developments that enabled a healthy
co-creative online ecosystem around text-to-image generation to rapidly emerge,
followed by a high-level description of key elements in this ecosystem. A
particular focus is placed on prompt engineering, a creative practice that has
been embraced by the AI art community. It is then argued that the emerging
co-creative ecosystem constitutes an intelligent system on its own - a system
that both supports human creativity, but also potentially entraps future
generations and limits future development efforts in AI. The chapter discusses
the potential risks and dangers of cultivating this co-creative ecosystem, such
as the bias inherent in today's training data, potential quality degradation in
future image generation systems due to synthetic data becoming common place,
and the potential long-term effects of text-to-image generation on people's
imagination, ambitions, and development.

这篇研究论文探讨了人工智能生成图像的创作方式以及弊端，如训练数据的偏见、合成数据常态化可能导致未来图像生成系统的质量下降，以及文本生成图像对人们想象力、抱负和发展的潜在长期影响。