Queer Representations of AI
This seminar discusses the interplay between queerness and artificial intelligence (AI). Understanding queerness as a way to challenge "natural" or "commonsensical" perspectives and norms, we reflect on how such dominant representations structure and sustain AI technologies, as well as how to repurpose machine intelligence in critical and even subversive ways. Queering AI questions the established ideas regarding gender, sex (and binary thinking more generally) and highlights the ways in which computational models reify such categorizations. By drawing attention to the ways AI obscures multiplicities and paradoxes, but equally to the "glitches" and "errors" it produces in the process, we aim to "blast open" the black box and foreground queer theory as a method for imagining novel possibilities and realizations of AI.
Speakers:
- Alicia Boyd (Post-doc, New York University)
- Edmond Y. Chang (Lecturer, Ohio University)
- Liz W Faber (Lecturer, University of Maryland)
- Ute Kalender (Guest Professor, HFBK Hamburg)
- Kalle Westerling (Research Application Manager, The Alan Turing Institute)
This event is part of the AI UK Fringe.
All welcomeThis event is free to attend, but booking is required. It will be held online with details about how to join the virtual event being circulated via email to registered attendees 24 hours in advance.
This page was last updated on 3 July 2024
