arXiv 2305.024692023-05-04cs.HCcs.AIcs.LG

系统模型与用户模型：AI仪表盘设计探究

The System Model and the User Model: Exploring AI Dashboard Design

Harvard University（哈佛大学）

Fernanda Viégas, Martin Wattenberg

备注：: 10 pages, 2 figures

阅读 PDF

arXiv 页面 ↗HTML 原文 ↗

AI总结：

本文针对大语言模型聊天机器人的不良交互问题，提出对话式AI系统应配备含系统模型与用户模型并行展示的仪表盘，认为相关模型的识别、解释与展示是AI界面研究核心。

摘要：

这是一篇关于界面设计与人工智能的思辨性文章。近期，基于大语言模型的聊天机器人受到大量关注，其中包括被广泛报道的不良交互事件。我们认为，部分问题在于文本并非全部所需：复杂的AI系统应当配备仪表盘，就像其他所有复杂设备一样。基于神经网络的AI系统将包含其周围世界各方面的可解释模型这一假设，我们探讨了此类仪表盘可能展示的数据。我们推测，对许多系统而言，两个最重要的模型将是用户模型和系统自身的模型，我们称之为系统模型（System Model）和用户模型（User Model）。我们提出，出于可用性和安全性考虑，对话式AI系统的界面应当有一个基于系统模型和用户模型状态的并行展示区域。找到识别、解释和展示这两个模型的方法，应当成为AI界面研究的核心内容。

英文摘要：

This is a speculative essay on interface design and artificial intelligence. Recently there has been a surge of attention to chatbots based on large language models, including widely reported unsavory interactions. We contend that part of the problem is that text is not all you need: sophisticated AI systems should have dashboards, just like all other complicated devices. Assuming the hypothesis that AI systems based on neural networks will contain interpretable models of aspects of the world around them, we discuss what data such dashboards might display. We conjecture that, for many systems, the two most important models will be of the user and of the system itself. We call these the System Model and User Model. We argue that, for usability and safety, interfaces to dialogue-based AI systems should have a parallel display based on the state of the System Model and the User Model. Finding ways to identify, interpret, and display these two models should be a core part of interface research for AI.

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。

AI总结：

摘要：

英文摘要：

相关论文