人工智能披露(AID)框架:简介

Kari D. Weaver
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引用次数: 0

摘要

随着生成式人工智能工具在高等教育和研究领域的使用日益增多,人们越来越强烈地要求这些工具的使用和归属具有透明度和条理性。迄今为止,这种需求一直是通过建议纳入注释来满足的,而对于注释本身应包括哪些内容却几乎没有指导。这被认为是人工智能在学术和研究领域使用的一个问题。本文介绍了人工智能披露(AID)框架,这是一个标准、全面、详细的框架,旨在为教育和研究领域开发和撰写 GenAI 披露提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Artificial Intelligence Disclosure (AID) Framework: An Introduction
As the use of Generative Artificial Intelligence tools have grown in higher education and research, there have been increasing calls for transparency and granularity around the use and attribution of the use of these tools. Thus far, this need has been met via the recommended inclusion of a note, with little to no guidance on what the note itself should include. This has been identified as a problem to the use of AI in academic and research contexts. This article introduces The Artificial Intelligence Disclosure (AID) Framework, a standard, comprehensive, and detailed framework meant to inform the development and writing of GenAI disclosure for education and research.
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