用语法痕迹检测学生作业中的AI生成内容，助力教师快速识别。
AIDetection: A Generative AI Detection Tool for Educators Using Syntactic Matching of Common ASCII Characters As Potential 'AI Traces' Within Users' Internet Browser
- 通过扫描常见ASCII字符的语法模式，识别AI写作痕迹。
- 支持批量分析，可检测多种AI模型生成的内容及引用。
- 适合教育工作者在教学评估中快速筛查作业真实性。
本文介绍了一款基于JavaScript的网页应用AIDetection.info，旨在帮助教育工作者检测学生作文和书面作业中的生成式AI内容。与依赖复杂机器学习模型的现有工具不同，该工具采用启发式方法，识别ChatGPT、Claude、Grok、DeepSeek、Gemini、Llama/Meta、Microsoft Copilot、Grammarly AI等文本生成模型及其封装应用留下的常见语法痕迹。工具可批量扫描文档，检测潜在的AI生成特征、引用及致谢信息，并提供可视化汇总报告，支持导出Excel和CSV格式文件。本文详述其方法、功能、局限性及在教育场景中的应用。
原文摘要 · Abstract (English)
This paper introduces a simple JavaScript-based web application designed to assist educators in detecting AI-generated content in student essays and written assignments. Unlike existing AI detection tools that rely on obfuscated machine learning models, AIDetection.info employs a heuristic-based approach to identify common syntactic traces left by generative AI models, such as ChatGPT, Claude, Grok, DeepSeek, Gemini, Llama/Meta, Microsoft Copilot, Grammarly AI, and other text-generating models and wrapper applications. The tool scans documents in bulk for potential AI artifacts, as well as AI citations and acknowledgments, and provides a visual summary with downloadable Excel and CSV reports. This article details its methodology, functionalities, limitations, and applications within educational settings.
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