Experiential AI: Between Arts and Explainable AI

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

Research output: Contribution to journalArticlepeer-review

Abstract

Experiential artificial intelligence (AI) is an approach to the design, use, and evaluation of AI in cultural or other real-world settings that foregrounds human experience and context. It combines arts and engineering to support rich and intuitive modes of model interpretation and interaction, making AI tangible and explicit. The ambition is to enable significant cultural works and make AI systems more understandable to nonexperts, thereby strengthening the basis for responsible deployment. This paper discusses limitations and promising directions in explainable AI, contributions the arts offer to enhance and go beyond explainability and methodology to support, deepen, and extend those contributions.
Original languageEnglish
Pages (from-to)298–306
Number of pages9
JournalLeonardo
Volume57
Issue number3
Early online date2 Apr 2024
DOIs
Publication statusPublished - 1 Jun 2024

Keywords

  • Computer Science Applications
  • Music
  • Engineering (miscellaneous)
  • Visual Arts and Performing Arts

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