Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 30th Apr 2025, 12:48:44pm WEST
This paper presents AI Emily, a pilot parallel corpus of 40 original and 360 AI-generated poems by, and in the style of, Emily Dickinson. This richly annotated dataset will provide an historical record of the developing poetic capabilities of generative AI models, with potential for use in cognitive neuroscience experiments.
Measuring Words Per Second: Leveraging Speech Recognition to Analyze Rhythmic Transformations in Theatrical Creative Processes
Théo Heugebaert, Jacob Hart
Université Rennes 2, France
This study leverages speech recognition technology to measure words per second (WPS) in theater productions, enabling the detection of rhythmic transformations and mutations during the creative process while addressing the challenges posed by stylized theatrical diction.
Narrating Nature in the Digital Age: Exploring Indian Digital Environmental Humanities
Simran Bhimjyani, Shanmugapriya T, Mehul Desai
Indian Institute of Technology Dhanbad, India
This paper seeks to explore Indian Digital Environmental Humanities (IDEH) by applying an ecophenomenological approach and survey analysis of viewers/players’ experience of two open-access Indian electronic literary works: Priti Pandurangan’s Meghadutam and Shanmugapriya’s Lost Water! Remainscape?
Hearing Heritage: Imaginary and Immersive Soundscapes
Cate Cleo Alexander, Lauren Knight
University of Toronto, Canada
We argue that sonic technologies in museums dismantle colonial ‘empires of sight’ and increase the accessibility of cultural heritage through other senses. Through ethnographic field work examining current uses of sound and artistic experiments with AI sound generation, we connect histories of sonic innovation/intervention in museums to technofutures of AI.
Mussolini and ChatGPT. Examining the Risks of AI writing Historical Narratives on Fascism
Michele Lacriola, Fabio De Ninno
Università di Siena, Italy
The paper analyzes issues linked to AI-generated historical content, using Italian Fascism as a case study. It highlights risks such as incorrect data or biased interpretations of complex history, potentially distorting public memory and historical narratives in the AI era. ChatGPT exemplifies these challenges in generating reliable historical insights.
