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Artificial intelligence (AI) promises to automate and scale solutions to perennial accessibility challenges (e.g., generating image descriptions for blind users). However, research shows that AI-bias disproportionately impacts people already marginalized based on their race, gender, or disabilities, raising questions about potential impacts in addition to AI’s promise. In this talk, Cynthia Bennett will overview broad concerns at the intersection of AI, disability, and accessibility. She will then share details about one project in this research space that led to guidance on human and AI-generated image descriptions that account for subjective and potentially sensitive descriptors around race, gender, and disability of people in images.

Poets and singers in a number of medieval vernacular languages reached non-native audiences and inspired speakers of other languages to compose in theirs; and many imagined their compositions enjoying a universality similar to that of cosmopolitan languages like Latin and Arabic. An interesting rationalization of these aspirations can be discerned in a short verse narrative of a well-known episode in the youth of Alexander the Great, conqueror of India, together with his tutor, the philosopher Aristotle. Not only does it involve Greeks and Indians singing French songs and cosplaying French lovers, but the philosopher is induced to pretend to be a horse and then justifies his behavior as “natural,” with far-reaching implications which this talk will explore.

Sarah Kay is Professor Emerita in the Department of French Literature, Thought and Culture at New York University and Life Fellow at Girton College, University of Cambridge. In Spring 2023, she is Distinguished Visiting Scholar in the Columbia Society of Senior Scholars.

This talk is presented by the Columbia Maison Française, Society of Fellows and Heyman Center for the Humanities, The Society of Senior Scholars, the Department of Music, and Medieval and Renaissance Studies.