体验式人工智能：介于艺术与可解释人工智能之间

IF 0.4 4区艺术学 0 ART

LEONARDO Pub Date : 2024-04-05 DOI:10.1162/leon_a_02524

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

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引用次数: 0

摘要

体验式人工智能（AI）是一种在文化或其他现实世界环境中设计、使用和评估人工智能的方法，它强调人的体验和背景。它将艺术与工程相结合，支持丰富而直观的模型解释和互动模式，使人工智能变得有形而清晰。其目标是促成重要的文化作品，让非专业人士更容易理解人工智能系统，从而加强负责任的部署基础。本文讨论了可解释人工智能的局限性和有前途的方向，艺术对提高和超越可解释性的贡献，以及支持、深化和扩展这些贡献的方法论。

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Experiential AI: Between Arts and Explainable AI

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.

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来源期刊

LEONARDO ART-

CiteScore

0.90

自引率

0.00%

发文量

139

期刊介绍： Leonardo was founded in 1968 in Paris by kinetic artist and astronautical pioneer Frank Malina. Malina saw the need for a journal that would serve as an international channel of communication between artists, with emphasis on the writings of artists who use science and developing technologies in their work. Today, Leonardo is the leading journal for readers interested in the application of contemporary science and technology to the arts.