Experiential AI: Between Arts and Explainable AI

被引：0

作者：

Hemment, Drew ^{[1
]}

Murray-Rust, Dave ^{[2
]}

Belle, Vaishak ^{[3
]}

Aylett, Ruth ^{[4
]}

Vidmar, Matjaz ^{[5
]}

Broz, Frank ^{[6
]}

机构：

[1] Univ Edinburgh, Edinburgh Coll Arts, Edinburgh EH39DF, Scotland

[2] Delft Univ Technol, Fac Ind Design Engn, NL-2628 Delft, Netherlands

[3] Univ Edinburgh, Sch Informat, Edinburgh EH89AB, Scotland

[4] Heriot Watt Univ, Sch Math & Comp Sci, Edinburgh EH144AS, Scotland

[5] Univ Edinburgh, Sch Engn, Edinburgh EH93FB, Scotland

[6] Delft Univ Technol, Dept Intelligent Syst, NL-2628 Delft, Netherlands

来源：

LEONARDO | 2024年 / 57卷 / 03期

基金：

英国工程与自然科学研究理事会; 英国艺术与人文研究理事会;

关键词：

D O I：

10.1162/leon_a_02524

中图分类号：

J [艺术];

学科分类号：

13 ; 1301 ;

摘要：

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.

引用

页码：298 / 308

页数：10

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