At the Institute of Rhetoric, we are actively engaging with the future of our discipline and the university in light of technological developments in artificial intelligence – through projects such as the RHET AI Center and Jugend präsentiert, but increasingly also within the department and our seminars themselves. A new series entitled “Rhetoric, AI, and Learning Futures” reflects this and will bring excellent researchers to Tübingen over the coming months to offer lectures and workshops for educators and students.
We are pleased to welcome Dr. Nana Ariel to Tübingen in early October as the second guest in this series. She is an author, researcher, educator, and publisher. She teaches at the Faculty of Humanities Tel Aviv University and has been a guest lecturer and speaker at various international institutions, including Harvard University, Sciences Po, Paris, and UC Berkeley. Her interests lie in rhetoric from antiquity to the present, learning, the material culture of books, and critical AI. She explores and develops new methods of learning, teaching, and exchanging knowledge, particularly at the intersections of theory and practice. Her most recent book is Clichés We Live By: from Modernity to AI, co-authored with Dana Riesenfeld (Oxford U P, 2026).
As part of her visit, Nana Ariel will lead a block seminar for undergraduate and graduate students on October 1–2, 2026, from 9:00–17:00 each day: “Machine Talk: What AI Reveals about Conversation” examines conversation as a genre and explores how conversational AI builds upon and transforms it. The seminar covers everything from early conversational machines to today’s chatbots; participants will read both conversation theories and literary texts to develop a more reflective approach to speaking with AI. On October 6, 2026, at 18:15, she will deliver a public lecture “A Bug or a Feature? Clichés and the Future of Writing with AI,” which will explore the history of the cliché from ancient rhetoric to generative AI—and address the question of whether the cliché is a flaw in machine-generated language or a fundamental feature of language use itself, with all that this implies for the teaching of writing.