论文/arXiv 2610.09064·9 天前

与语言模型交谈

本文质疑将LLM交互视为对话的预设，提出artifactual stance框架，重释AI生成文本的解释、承诺与责任问题。

AI 整理

• 具身模型

原文链接：Talking with language models（arXiv 2610.09064 · 发布日期：2026-10-19）

Talking with language models

本文质疑将LLM交互视为对话的预设，提出artifactual stance框架，重释AI生成文本的解释、承诺与责任问题。

核心要点

• LLM文本会诱使用户将交互视作对话，并把模型当作有记忆、行动和承诺的对象。
• 作者认为这种对话预设是错误的，主张从设计与可供性理解人类与AI交互。
• 该框架认为LLM生成候选文本，用户负责解释、评估，并有时采纳为自身言说。
• 文章将AI指称、所谓交互对象持续性和文本责任问题，转向人工物中介的人类语言实践。

英文摘要 (Abstract)

Large language models (LLMs) produce text that invites us to treat our interactions with them as conversations, and to treat them as intelligent interlocutors who remember, act, and make commitments. We argue that this conversational presupposition is mistaken. We introduce the artifactual stance, which describes human–AI interaction in terms of their design and affordances, rather than potential intentional attitudes. On our account, LLMs produce candidate text that users interpret, evaluate, and sometimes adopt as their own speech. We argue that such exchanges are not conversations, since generating text does not itself constitute an utterance or the performance of a speech act. Rather the communicative and normative work of interpretation, commitment, and action remains with the user. Our framework explains both the sophistication and usefulness of LLMs, and the conversational appearances that can be traced back to properties of the interface and to artifact design. It also reframes puzzles about AI reference, the persistence of supposed interlocutors, and responsibility for AI-generated text. These questions are better approached through an account of how artifacts mediate human linguistic practices than through assumptions about AI speakerhood.

作者：James Ravi Kirkpatrick, Alexandru Radulescu, Rachel Sterken

来源

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1. arXiv 2610.09064：Talking with language models访问 2026-10-21