增强学术写作的生成式AI技术
Techniques for supercharging academic writing with generative AI
AI总结：
本文探讨利用生成式AI提升学术写作质量与效率的方法，提出人机协作框架及写作辅助类型模型，旨在优化写作流程并维护学术严谨性。
摘要：
学术写作是科研不可或缺但繁重的部分。本文概述了使用生成式AI（尤其是大语言模型）提升写作质量和效率的原则和方法。我们引入了一个人机协作框架，明确了AI在写作中的理由（为何）、过程（如何）和性质（什么）。该框架指出了短期和长期使用AI的原因及其潜在机制（如认知卸载和想象力刺激）。它揭示了AI在整个写作过程中的作用，通过人机协作写作的两阶段模型进行概念化，并通过写作辅助类型和层次的模型来表示AI在写作中的作用。基于此框架，我们描述了将AI融入写作流程（大纲、草稿和编辑）的有效提示技术，以及维持严谨学术、遵守不同期刊政策和避免过度依赖AI的策略。最终，AI在学术写作中的谨慎整合可以减轻沟通负担，赋能作者，加速发现，促进科学多样性。
英文摘要：
Academic writing is an indispensable yet laborious part of the research enterprise. This Perspective maps out principles and methods for using generative artificial intelligence (AI), specifically large language models (LLMs), to elevate the quality and efficiency of academic writing. We introduce a human-AI collaborative framework that delineates the rationale (why), process (how), and nature (what) of AI engagement in writing. The framework pinpoints both short-term and long-term reasons for engagement and their underlying mechanisms (e.g., cognitive offloading and imaginative stimulation). It reveals the role of AI throughout the writing process, conceptualized through a two-stage model for human-AI collaborative writing, and the nature of AI assistance in writing, represented through a model of writing-assistance types and levels. Building on this framework, we describe effective prompting techniques for incorporating AI into the writing routine (outlining, drafting, and editing) as well as strategies for maintaining rigorous scholarship, adhering to varied journal policies, and avoiding overreliance on AI. Ultimately, the prudent integration of AI into academic writing can ease the communication burden, empower authors, accelerate discovery, and promote diversity in science.
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。
