Experiential AI: A transdisciplinary framework for legibility and agency in AI

Drew Hemment, Dave Murray-Rust, Vaishak Belle, Ruth Aylett, Matjaz Vidmar, Frank Broz

Research output: Working paperPreprint

Abstract / Description of output

Experiential AI is presented as a research agenda in which scientists and artists come together to investigate the entanglements between humans and machines, and an approach to human-machine learning and development where knowledge is created through the transformation of experience. The paper discusses advances and limitations in the field of explainable AI; the contribution the arts can offer to address those limitations; and methods to bring creative practice together with emerging technology to create rich experiences that shed light on novel socio-technical systems, changing the way that publics, scientists and practitioners think about AI.
Original languageEnglish
Publication statusPublished - 1 Jun 2023

Keywords / Materials (for Non-textual outputs)

  • Computer Science - Computers and Society
  • J.5
  • K.4.2


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