Mixing & Mastering Genre Signals: Generative AI, Writing, & the Near Future of Writing Technologies

Keynote presentation by Bill Hart-Davidson | Michigan State University

In this talk, Hart-Davidson offer a perspective on generative AI applications and the large language models at the heart of these informed by theory and research from digital writing studies. His goal is to offer an explanation of the affordances and limits of LLMs, especially those that rely on a transformer architecture, from an “insider” view as someone who has engineered, built and evaluated applications using that and other machine-learning techniques. Hart-davidson's aim is to present some near-future possibilities that can animate and energize DH scholarship because of the unique and valuable contributions the DH community has to contribute.

For more information about the symposium visit: https://msuglobaldh.org