Conference Agenda

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.

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.

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?

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.

The paper analyzes issues linked to AI-generated historical content, using Italian Fascism as a case study.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.