AI and Text Generation
Geoff Davis et al.
Summary
In this Computer Arts Society talk on AI and Text Generation, chaired by Sean Clark and hosted by the BCS, Geoff Davis et al. survey the rapid emergence of AI text generators and their creative possibilities, noting an upcoming AI and image talk. Davis, an AI and tech researcher at the University of the Arts London Creative Computing Institute, founder of Micro Arts and director of Story Software, outlines how tools such as ChatGPT have moved from older rule-based expert systems and the novel-writing project Brutus to today’s neural nets trained on massive internet data, enabling idea generation, collaborative writing, editing, visual storytelling, personalised content, adaptive gaming narratives, and cross-disciplinary collaboration. He shows his own early procedural story generator, Mark Webster’s sentiment-analysis-based text art, and Sasha Styles’s AI language-glyph works, while acknowledging Harold Cohen’s pioneering generative system AARON. Davis also presents his AI Creative Writing Anthology, which includes Brian Reffin Smith, and introduces the invited speakers—Devon Rice, Real C, Maria Cecilia Reyes, and Shuwon—who cover environmental literacy, reformulated poetry, narrative influence, co-writing fiction and poetry, and AI text in education. The talk frames current debates around technology, ethics, artificial general intelligence, and the practical, gallery-ready potential of machine-generated writing.
This AI summary was generated by kimi-k2.7-code (13th August 2026).