An arms race in technology is emerging as American universities deal with the growing use of artificial intelligence in education. Biology professor Timothy Paustian at the University of Wisconsin-Madison found that at least 60 of his 350 students used AI for an assignment after he inserted a specific instruction to test for such use. Paustian noted that he has largely moved away from traditional assignments for lower-level classes, emphasizing the need to teach students to think critically. While AI models have pushed educators to be more creative, they have also made cheating easier, according to Paustian. Studies show that AI detectors are not reliable, leading teachers to use innovative techniques, such as combining written assignments with oral exams. However, Paustian warns that these methods do not guarantee students will not simply generate content with AI and then read it aloud. A survey by the American Association of Universities (AACU) and Elon University found that 95% of professors fear students will over-rely on AI. A report from the Massachusetts Institute of Technology warns that using chatbots to get answers can create an illusion of learning but may lead to cognitive disengagement. An increasing number of American universities, including Yale and Cornell, have banned or discouraged the use of AI detection tools, citing their unreliability. The University of Wisconsin-Madison's guidelines state that these tools are imperfect, biased against non-native English speakers, and ineffective in preventing AI use. Cornell University also notes that detecting AI-generated content is challenging. Some students have filed complaints against universities that accused them of using AI in their work. AI detection platforms are also ineffective against "humanization" tools that rewrite AI-generated texts to appear more human. Timothy Caulfield, a researcher specializing in disinformation, describes the situation as a technological arms race between detectors and fraudsters. Some academics argue that students need to improve their understanding of AI to meet current job market demands. Harvard University Dean David Deming suggested that institutions should accept or even encourage AI use, advocating for a different approach that focuses less on AI detection and more on adapting to the changing educational landscape.