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Computers and Composition最新文献

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Machine-in-the-loop writing: Optimizing the rhetorical load 机器在环写作:优化修辞负载
Q1 Arts and Humanities Pub Date : 2024-02-03 DOI: 10.1016/j.compcom.2024.102826
Alan M. Knowles

This article offers Rhetorical Load Sharing as a theoretical framework for placing texts on a collaborative authorship spectrum spanning from human-authored text to synthetic text. It poses human-in-the-loop writing as a baseline ethical AI collaborative writing workflow that avoids offloading the entire rhetorical load to generative AI tools and argues that machine-in-the-loop writing, in which human collaborators retain majority of the rhetorical load, is an ideal AI collaborative writing model that is suitable for the technical and professional communication classroom.

本文提出了 "修辞负载分担"(Rhetorical Load Sharing)这一理论框架,用于将文本置于从人类撰写文本到合成文本的协作作者谱系中。文章将 "人在回路中写作 "作为人工智能协作写作工作流程的道德基线,避免将全部修辞负载卸载给生成式人工智能工具,并认为 "机器在回路中写作"(人类协作者保留大部分修辞负载)是一种理想的人工智能协作写作模式,适合技术和专业交流课堂。
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引用次数: 0
A “Dance of storytelling”: Dissonances between substance and style in collaborative storytelling with AI 讲故事的舞蹈":与人工智能合作讲故事时内容与风格之间的不协调
Q1 Arts and Humanities Pub Date : 2024-02-03 DOI: 10.1016/j.compcom.2024.102825
Ruth Li

In this paper, I investigate the ways human-AI collaboration could transform writing practices including feedback and revision. By closely examining an AI-generated essay, I expose potential gaps and contradictions in the essay and prompt ChatGPT to compose more nuanced writing. In inviting a dialectical negotiation with AI through iterative prompting and collaborative writing, I illuminate dissonances between content and style in the AI-generated essay. I proffer that interacting with AI language models can encourage students to engage critically with writerly choices by identifying instances in which AI-generated texts could consider alternative ideas or diverse perspectives. Ultimately, I contribute an innovative approach to collaborative storytelling with AI.

在本文中,我将研究人类与人工智能的合作如何改变写作实践,包括反馈和修改。通过仔细研究人工智能生成的文章,我揭示了文章中潜在的差距和矛盾,并促使 ChatGPT 撰写出更细致入微的文章。通过迭代提示和协作写作,我与人工智能进行了辩证协商,从而揭示了人工智能生成的文章中内容与风格之间的不和谐之处。我提出,与人工智能语言模型互动可以鼓励学生批判性地参与写作选择,找出人工智能生成的文本可以考虑其他想法或不同观点的情况。最终,我为用人工智能合作讲故事贡献了一种创新方法。
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引用次数: 0
Q1 Arts and Humanities Pub Date : 2024-02-01 DOI: 10.1016/j.compcom.2024.102832
Anna Mills
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引用次数: 0
Introduction: Composing with generative AI 介绍:使用生成式人工智能进行创作
Q1 Arts and Humanities Pub Date : 2024-01-31 DOI: 10.1016/j.compcom.2024.102834
Nupoor Ranade, Douglas Eyman
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引用次数: 0
Composing with generative AI on digital advertising platforms 在数字广告平台上使用生成式人工智能进行创作
Q1 Arts and Humanities Pub Date : 2024-01-25 DOI: 10.1016/j.compcom.2024.102829
Daniel L. Hocutt

This study introduces online advertising platforms as digital composing tools where persuasive rhetoric encourages users to follow links and take action on landing pages. It frames these platforms as digital spaces where human actors work alongside non-human AI agents (Duin & Pedersen, 2021 & 2023) and where rhetorical agency emerges through the activity of machine learning and artificial intelligence. It theorizes a (human) user-centered approach to composing digital ads in digital advertising platforms built around Walton, Moore & Jones’ (2019) framework of positionality, position, and power. It provides guidance for technical and professional writers in placing human users at the center of an abstracted, algorithm-driven partnership where generative AI appears poised to wrest power from both composers and users.

本研究将在线广告平台介绍为数字合成工具,在这些平台上,说服性修辞鼓励用户跟随链接并在登陆页面上采取行动。本研究将这些平台定义为数字空间,在这里,人类行为者与非人类的人工智能代理(Duin & Pedersen, 2021 & 2023)共同工作,通过机器学习和人工智能活动产生修辞代理。它围绕沃尔顿、摩尔和琼斯(Walton, Moore & Jones)(2019年)的立场、地位和权力框架,从理论上提出了一种以(人类)用户为中心的方法,用于在数字广告平台上撰写数字广告。它为技术和专业撰稿人提供了指导,帮助他们将人类用户置于抽象的、算法驱动的合作关系的中心,在这种合作关系中,生成式人工智能似乎准备从撰稿人和用户手中夺取权力。
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引用次数: 0
Rhetorically training students to generate with AI: Social justice applications for AI as audience 对学生进行人工智能生成的修辞培训:人工智能作为受众的社会正义应用
Q1 Arts and Humanities Pub Date : 2024-01-20 DOI: 10.1016/j.compcom.2024.102828
Gabriel Lorenzo Aguilar

Compositionists can train students to rhetorically approach AI as a writing assistant—a metaphor that can help students maintain authority in dialogue with AI. Such an approach allows students to control the input and output from generative AI. Compositionists can teach students how to input ethical information and recognize harmful output. The students are then encouraged to converse with the AI in dialogue, sending messages back and forth until the AI generates writing that is acceptable in ethics and content. This article provides a social justice heuristic for compositions to follow in their training of students.

作曲家可以训练学生将人工智能作为写作助手来修辞--这种隐喻可以帮助学生在与人工智能的对话中保持权威。这种方法可以让学生控制生成式人工智能的输入和输出。作曲家可以教学生如何输入道德信息和识别有害输出。然后鼓励学生与人工智能对话,来回发送信息,直到人工智能生成在道德和内容上都可以接受的写作。本文提供了一种社会正义启发式,供写作人员在培训学生时参考。
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引用次数: 0
Erratum regarding missing Declaration of Competing Interest statements in previously published articles – Part 1 关于先前发表的文章中缺少竞争利益声明的勘误表-第1部分
Q1 Arts and Humanities Pub Date : 2023-11-18 DOI: 10.1016/j.compcom.2023.102809
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引用次数: 0
Erratum regarding missing Declaration of Competing Interest statements in previously published articles – part 3 关于先前发表的文章中缺少竞争利益声明的勘误表-第3部分
Q1 Arts and Humanities Pub Date : 2023-11-18 DOI: 10.1016/j.compcom.2023.102811
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引用次数: 0
Erratum regarding missing Declaration of Competing Interest statements in previously published articles – Part 2 关于先前发表的文章中缺少竞争利益声明的勘误表-第2部分
Q1 Arts and Humanities Pub Date : 2023-11-18 DOI: 10.1016/j.compcom.2023.102810
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引用次数: 0
Computers and Composition at 40: A retrospective 40岁时的电脑与作曲:回顾
Q1 Arts and Humanities Pub Date : 2023-11-08 DOI: 10.1016/j.compcom.2023.102807
Kristine L. Blair
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引用次数: 0
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