We introduce a framework for understanding the impact of generative AI on human work, which we call the human-AI task tensor. A tensor is a structured framework that organizes tasks along multiple interdependent dimensions. Our human-AI task tensor introduces a systematic approach to studying how humans and AI interact to perform tasks, and has eight dimensions: task definition, AI integration, interaction modality, audit requirement, output definition, decision-making authority, AI structure, and human persona. After describing the eight dimensions of the tensor, we provide illustrative frameworks (derived from projections of the tensor) and a human-AI task canvas that provide analytical tractability and practical insight for organizational decision-making. We demonstrate how the human-AI task tensor can be used to organize emerging and future research on generative AI. We propose that the human-AI task tensor offers a starting point for understanding how work will be performed with the emergence of generative AI.

翻译：我们提出了一种理解生成式AI对人类工作影响的框架，称为“人类-AI任务张量”。该张量是一个结构化的理论框架，能够沿多个相互依存的维度对任务进行组织。人类-AI任务张量系统性地研究了人类与AI在执行任务时的互动方式，包含八个维度：任务定义、AI集成方式、交互模态、审计需求、输出定义、决策权限、AI架构以及人类角色特质。在详细阐述张量的八个维度后，我们提供了基于张量投影导出的说明性框架以及一张“人类-AI任务画布”，这些工具能为组织决策提供分析可操作性与实践洞见。我们展示了如何利用该张量来组织生成式AI领域的新兴及未来研究，并提出人类-AI任务张量可作为理解生成式AI时代人类工作模式变革的起点。