[论文解读] Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaboration

Melanie J. McGrath, Andreas Duenser+2 more|arXiv (Cornell University)|Apr 2, 2024

Ethics and Social Impacts of AI被引用 7

一句话总结

本论文提出 CHAI-T，一种过程框架，通过将信任前因与团队过程和绩效阶段相结合，主动管理人机协作团队中的信任。

ABSTRACT

Collaborative human-AI (HAI) teaming combines the unique skills and capabilities of humans and machines in sustained teaming interactions leveraging the strengths of each. In tasks involving regular exposure to novelty and uncertainty, collaboration between adaptive, creative humans and powerful, precise artificial intelligence (AI) promises new solutions and efficiencies. User trust is essential to creating and maintaining these collaborative relationships. Established models of trust in traditional forms of AI typically recognize the contribution of three primary categories of trust antecedents: characteristics of the human user, characteristics of the technology, and environmental factors. The emergence of HAI teams, however, requires an understanding of human trust that accounts for the specificity of task contexts and goals, integrates processes of interaction, and captures how trust evolves in a teaming environment over time. Drawing on both the psychological and computer science literature, the process framework of trust in collaborative HAI teams (CHAI-T) presented in this paper adopts the tripartite structure of antecedents established by earlier models, while incorporating team processes and performance phases to capture the dynamism inherent to trust in teaming contexts. These features enable active management of trust in collaborative AI systems, with practical implications for the design and deployment of collaborative HAI teams.

研究动机与目标

• 阐明在新颖性与不确定性背景下理解人机协作团队（HAI）信任的必要性。
• 提出一个将传统前因扩展为包含任务情境、目标和协作动力学的信任框架。
• 将人、技术和环境因素与团队过程及绩效阶段整合，以建模信任的演变。
• 为设计和部署具主动信任管理的协作HAI系统提供实际指导。

提出的方法

• 采用来自先前信任模型的三元前因结构（人、技术、环境）。
• 纳入团队过程以捕捉互动动态。
• 增加绩效阶段，反映在协作情境中信任随时间的演变。
• 将心理学和计算机科学理论综合，以支持这一过程框架。
• 概述对协作 HAI 团队设计与部署的影响。

实验结果

研究问题

• RQ1 如何在考虑任务情境和目标时，将人机团队的信任建模超越传统前因？
• RQ2 团队过程和绩效阶段如何影响 HAI 协作中的信任演变与管理？
• RQ3 CHAI-T 为设计和部署协作式 AI 系统带来哪些实际策略？
• RQ4 关键前因是什么（人、技术、环境），它们在协作情境中如何相互作用？

主要发现

• 三元前因结构（人、技术、环境）仍是 HAI 中信任的基础，但必须扩展以考虑任务情境与目标。
• 团队过程与绩效阶段对捕捉持续 HAI 协作中信任的动态至关重要。
• CHAI-T 能实现对信任的主动管理，对协作 AI 系统的设计、部署与运行有影响。
• 框架强调信任的动态性，反映团队随时间互动与绩效的变化。