The rapid adoption of AI tools such as ChatGPT has significantly transformed academic practices, offering considerable benefits for both students and faculty in computing disciplines. These tools have been shown to enhance learning efficiency, academic self-efficacy, and confidence. However, their increasing use also raises pressing concerns regarding the preservation of academic integrity -- an essential pillar of the educational process. This paper explores the implications of widespread AI tool usage within computing colleges, with a particular focus on how to align their use with the principles of academic honesty. We begin by classifying common assessment techniques employed in computing education and examine how each may be impacted by AI-assisted tools. Building on this foundation, we propose a set of general guidelines applicable across various assessment formats to help instructors responsibly integrate AI tools into their pedagogy. Furthermore, we provide targeted, assessment-specific recommendations designed to uphold educational objectives while mitigating risks of academic misconduct. These guidelines serve as a practical framework for instructors aiming to balance the pedagogical advantages of AI tools with the imperative of maintaining academic integrity in computing education. Finally, we introduce a formal model that provides a structured mathematical framework for evaluating student assessments in the presence of AI-assisted tools.

翻译：ChatGPT等AI工具的迅速应用显著改变了学术实践，为计算机学科的学生和教师带来了巨大益处。研究表明，这些工具能提升学习效率、学术自我效能感和自信心。然而，其日益普及也引发了对学术诚信这一教育过程核心支柱的严峻关切。本文探讨了计算机学院中AI工具广泛使用的影响，重点关注如何使其与学术诚实原则相协调。我们首先对计算机教育中常见的评估技术进行分类，并考察每类技术可能如何受到AI辅助工具的影响。在此基础上，我们提出一套适用于多种评估形式的通用指南，帮助教师负责任地将AI工具融入教学。此外，我们提供针对特定评估类型的建议，旨在维护教育目标的同时降低学术不端风险。这些指南为教师提供了实用框架，以平衡AI工具的教学优势与维护计算机教育中学术诚信的必要性。最后，我们引入一个形式化模型，为在AI辅助工具存在情况下评估学生作业提供结构化的数学框架。