During 2022, both transformer-based AI text generation sys-tems such as GPT-3 and AI text-to-image generation systems such as DALL-E 2 and Stable Diffusion made exponential leaps forward and are unquestionably altering the fields of digital art and electronic literature. In this panel a group of electronic literature authors and theorists consider new oppor-tunities for human creativity presented by these systems and present new works have produced during the past year that specifically address these systems as environments for literary expressions that are translated through iterative interlocutive processes into visual representations. The premise that binds these presentations is that these systems and the works gener-ated must be considered from a literary perspective, as they originate in human writing. In works ranging from a visual memoir of the personal experience of a health crisis, to interac-tive web comics, to architectures based on abstract poetic language, to political satire, four artists explore the capabili-ties of these writing environments for new genres of literary artist practice, while a digital culture theorist considers the origins and effects of the particular training datasets of human language and images on which these new hybrid forms are based.

翻译：2022年间，基于Transformer的AI文本生成系统（如GPT-3）与AI文本到图像生成系统（如DALL-E 2和Stable Diffusion）均取得了指数级飞跃，这些系统无疑正在重塑数字艺术与电子文学领域。在本专题讨论中，一组电子文学作者与理论家探讨了这些系统为人类创造力带来的新机遇，并展示了在过去一年间创作的新作品——这些作品专门将此类系统视为文学表达的媒介环境，通过迭代对话过程将文学表达转化为视觉呈现。贯穿这些展示的核心前提是：这些系统及其生成的作品必须从文学视角加以审视，因为它们都源于人类的文字创作。从个人健康危机经历的视觉回忆录，到交互式网络漫画，再到基于抽象诗意语言的架构以及政治讽刺作品，四位艺术家探索了这些写作环境在文学艺术实践新类型中的潜力；与此同时，一位数字文化理论家则审视了这些新型混合形式所依托的人类语言与图像特定训练数据集的起源与影响。