设计一种拉什蒙机器：多视角主义与XAI用于创造力支持
Designing a Rashomon Machine: Pluri-perspectivism and XAI for Creativity Support
AI总结：
本文提出多视角主义框架，通过XAI方法促进人机协同创作中的创造性探索与人类自主性支持。
摘要：
尽管智能技术为创造力支持提供了独特的机会，但在设计以人为本的协同创造系统时仍面临根本性挑战。可解释人工智能（XAI）在将传统角色从解释（解释决策）转向探索（解释可能性）时可以发挥作用。情境理解对于支持具身创造力至关重要。然而，生成式人工智能（AI）模型本质上受限于其对脱离身体数据的依赖。我们提出多视角主义作为XAI的框架，以弥合人与机器之间的知识鸿沟，并促进创造性探索。它是一种务实、以行动为导向的解决方案，用于引导系统，重新利用XAI方法，如拉什蒙技术。这有助于探索一系列创造性可能性，并促进人与机器之间的“视角”交流。使用多视角主义作为XAI的框架，我们可以重新引入富有成效的摩擦，并在人机创造性协作中支持人类自主性。
英文摘要：
While intelligent technologies offer unique opportunities for creativity support, there are fundamental challenges in designing human-centered co-creative systems. Explainable AI (XAI) can contribute when shifting its traditional role from justification (explaining decisions) to exploration (explaining possibilities). Contextual understanding is essential for supporting embodied creativity. Generative Artificial Intelligence (AI) models are fundamentally limited, however, by their reliance on disembodied data. We propose Pluri-perspectivism as a framework for XAI, to bridge the epistemological gap between human and machine, and promote creative exploration. It is a pragmatic, action-oriented solution to guide the system, repurposing XAI methods such as the Rashomon Technique. This facilitates exploring a spectrum of creative possibilities, and the exchange of 'perspectives' between human and machine. Using Pluri-perspectivism as a framework for XAI, we can reintroduce productive friction and support human agency in human-machine creative collaborations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
