Experiential AI is an emerging research field that addresses the challenge of making AI tangible and explicit, both to fuel cultural experiences for audiences, and to make AI systems more accessible to human understanding. The central theme is how artists, scientists and other interdisciplinary actors can come together to understand and communicate the functionality of AI, ML and intelligent robots, their limitations, and consequences, through informative and compelling experiences. It provides an approach and methodology for the arts and tangible experiences to mediate between impenetrable computer code and human understanding, making not just AI systems but also their values and implications more transparent, and therefore accountable. In this paper, we report on an empirical case study of an experiential AI system designed for creative data exploration of a user-defined dimension, to enable creators to gain more creative control over the AI process. We discuss how experiential AI can increase legibility and agency for artists, and how the arts can provide creative strategies and methods which can add to the toolbox for human-centred XAI.

翻译：体验式人工智能（Experiential AI）是一个新兴研究领域，旨在应对如何使AI具象化与可阐释化的挑战——既能为观众丰富文化体验，又能提升人类对AI系统的理解能力。其核心议题在于：艺术家、科学家及其他跨学科行动者如何通过富有启发性的沉浸式体验，共同理解并传递AI、机器学习及智能机器人的功能、局限性及其社会影响。该领域提供了一种方法论框架，通过艺术实践与具身化体验，在深奥的计算机代码与人类认知之间搭建桥梁，不仅使AI系统的运作机制更透明，更使其价值取向与社会影响具备可问责性。本文报告了一项关于体验式AI系统的实证案例研究，该系统专为支持用户自定义维度的创造性数据探索而设计，旨在帮助创作者获得对AI创作过程的更大控制权。我们探讨了体验式AI如何增强艺术家的可理解性与能动性，并分析了艺术实践如何为以人为中心的可解释人工智能（XAI）工具箱提供创造性的策略与方法。