ChatGPT is an AI language model developed by OpenAI that can understand and generate human-like text. It can be used for a variety of use cases such as language generation, question answering, text summarization, chatbot development, language translation, sentiment analysis, content creation, personalization, text completion, and storytelling. While ChatGPT has garnered significant positive attention, it has also generated a sense of apprehension and uncertainty in academic circles. There is concern that students may leverage ChatGPT to complete take-home assignments and exams and obtain favorable grades without genuinely acquiring knowledge. This paper adopts a quantitative approach to demonstrate ChatGPT's high degree of unreliability in answering a diverse range of questions pertaining to topics in undergraduate computer science. Our analysis shows that students may risk self-sabotage by blindly depending on ChatGPT to complete assignments and exams. We build upon this analysis to provide constructive recommendations to both students and instructors.

翻译：ChatGPT是由OpenAI开发的一种AI语言模型，能够理解并生成类人文本。它可应用于多种场景，包括语言生成、问答、文本摘要、聊天机器人开发、语言翻译、情感分析、内容创作、个性化推荐、文本补全及故事叙述等。尽管ChatGPT获得了广泛积极关注，但也在学术界引发了担忧与不确定性——学生可能利用ChatGPT完成课后作业和考试，在不真正获取知识的情况下获得理想分数。本文采用定量分析法，揭示了ChatGPT在回答本科计算机科学课程相关多样化问题时存在的高度不可靠性。我们的分析表明，学生若盲目依赖ChatGPT完成作业和考试，可能面临自我损害的风险。基于此分析，我们为学生和教师双方提供了建设性建议。