This paper presents a critical analysis of generative Artificial Intelligence (AI) detection tools in higher education assessments. The rapid advancement and widespread adoption of generative AI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms. We explore the effectiveness, vulnerabilities, and ethical implications of AI detection tools in the context of preserving academic integrity. Our study synthesises insights from various case studies, newspaper articles, and student testimonies to scrutinise the practical and philosophical challenges associated with AI detection. We argue that the reliance on detection mechanisms is misaligned with the educational landscape, where AI plays an increasingly widespread role. This paper advocates for a strategic shift towards robust assessment methods and educational policies that embrace generative AI usage while ensuring academic integrity and authenticity in assessments.

翻译：本文对高等教育评估中生成式人工智能（AI）检测工具进行了批判性分析。生成式AI的快速进步与广泛应用，尤其是在教育领域的普及，迫使我们对传统学术诚信机制进行重新审视。我们探讨了AI检测工具在维护学术诚信背景下的有效性、脆弱性及伦理影响。本研究通过综合案例分析、报刊文章及学生证词，深入剖析了AI检测相关的实践与哲学挑战。我们认为，在AI日益广泛参与教育生态的背景下，对检测机制的过度依赖与教育现状脱节。本文主张应战略性转向更稳健的评估方法与教育政策，在接纳生成式AI应用的同时，确保评估中的学术诚信与真实性。