Experiential AI: A transdisciplinary framework for legibility and agency in AI
Computers and Society
2023-06-02 v1
Abstract
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.
Keywords
Cite
@article{arxiv.2306.00635,
title = {Experiential AI: A transdisciplinary framework for legibility and agency in AI},
author = {Drew Hemment and Dave Murray-Rust and Vaishak Belle and Ruth Aylett and Matjaz Vidmar and Frank Broz},
journal= {arXiv preprint arXiv:2306.00635},
year = {2023}
}
Comments
10 pages, 3 appendices