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

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

doi:https://doi.org/10.48550/arXiv.2306.00635

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 paper › Preprint

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 language	English
DOIs	https://doi.org/10.48550/arXiv.2306.00635
Publication status	Published - 1 Jun 2023

Keywords / Materials (for Non-textual outputs)

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

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https://doi.org/10.48550/arXiv.2306.00635Licence: Creative Commons: Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)

Hemment2023ExperientialAISubmitted manuscript, 13 MB

Cite this

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

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Keywords / Materials (for Non-textual outputs)

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