Human-AI collaboration by design

Binyang Song, Qihao Zhu, Jianxi Luo
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Abstract

Human-AI collaboration (HAIC) is a promising strategy to transform engineering design and innovation, yet how to design artificial intelligence (AI) to boost HAIC remains unclear. Accordingly, this paper provides a new, unified, and comprehensive scheme for classifying AI roles. On this basis, we develop an AI design framework that outlines expected AI capabilities, interactive attributes, and trust enablers across various HAIC scenarios, offering guidance for integrating AI into human teams effectively. We also discuss current advancements, challenges, and prospects for future research.
通过设计实现人与人工智能的协作
人机协作(HAIC)是改变工程设计和创新的一项大有可为的战略,但如何设计人工智能(AI)以促进人机协作仍不明确。因此,本文提供了一种新的、统一的、全面的人工智能角色分类方案。在此基础上,我们开发了一个人工智能设计框架,概述了各种 HAIC 场景中预期的人工智能能力、交互属性和信任促进因素,为将人工智能有效融入人类团队提供了指导。我们还讨论了当前的进展、挑战和未来研究的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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