College Students Hire Lawyers as AI Cheating Accusations Surge Across Universities

AI cheating accusations: The students hiring lawyers to defend themselves

Students accused of AI cheating are turning to lawyers, desperate for their help. Credit: Ian Moore/Mashable/Shutterstock When college students seek out attorney Adrienne Hahn, they're often petrified and desperate: An instructor has accused them of using artificial intelligence to cheat. Suddenly, students are racing to successfully defend themselves or risk the implosion of their college career. In some cases, sanctions that result from an academic integrity violation, such as a semester-long suspension, have devastating implications. After all, graduate schools, prospective employers, licensing boards, and the government often consider cheating disqualifying. "Any of those consequences follow the student from that period on, unless you negotiate that away, somehow," said Hahn, founder of the education law firm Hahn Legal Group, APC. While there's no tally of how many American college students have faced AI cheating accusations this academic year or previously, the legal firms that specialize in education law are very busy handling their cases. Some of their clients are wealthy, attend the nation's most prestigious universities, and can afford legal representation. Others come from modest backgrounds, are enrolled at state colleges, and have few financial resources. Hahn said the fallout can be particularly devastating for students attending college on a scholarship. What these students all share in common is the real fear that AI cheating accusations will destroy their future before it's even begun. Hahn's firm represents students across California. She said the volume of their inquiries has skyrocketed in the past two years. Many students accused of cheating didn't actually use AI to complete an assignment or test, Hahn says, or they don't realize their use of AI violated a policy that may not have been clearly communicated. Some students do use AI, but share extenuating circumstances. One student Hahn represented incorporated AI into their classwork at a moment of intense personal distress: They held down multiple jobs and both of their parents were experiencing health crises. The school administration was sympathetic to the situation and avoided an overly punitive consequence after Hahn lobbied against it. But there are students who don't disclose unfavorable or damning information about their AI use, only for Hahn's team to discover it during the investigation process. "I can't give you the right advice unless I know the truth," she said. "I still have clients who lie to me. That's a waste of their money and time." The cost for hiring representation varies based on the case, but it can range from a few thousand dollars to tens of thousands when a student decides to involve the courts. At LLF National Law Firm, there are as many as 250 clients at any given time working with counsel on AI-related academic integrity violations, said Thomas Terrill, director of the firm's National Education Defense Practice Group. Terrill said AI-related cheating cases now make up a substantial portion of LLF National Law Firm's caseload. Like clockwork, inquiries spike during midterm and final exams. While lawyers can't represent students at their school's administrative hearings, Terrill said that legal expertise can "level" an uneven playing field in which administrators hold tremendous power over students' lives. In Terrill's experience, some schools try to fairly evaluate AI cheating accusations. Yet, he's also dealt with rushed investigations, limited access to evidence, and presumption of student fault based on a misunderstanding of how AI works. "Many students feel they are in the position of proving their innocence rather than the institution meeting a clear burden of proof," Terrill said in an email. The lawyers Mashable interviewed had strong opinions on this dynamic. Andrew Miltenberg, the senior litigation partner at the law firm Nesenoff & Miltenberg, observed that the balance of power tilts away from the student and toward the "faculty fiefdom." Some professors, he said, enjoy surprising leeway in making and adjudicating AI cheating charges. Miltenberg characterized the AI programs they rely on to "check" for cheating or plagiarism as "primitive" and prone to false positives. Once a student is accused, they need a defense strategy. LLF National Law Firm advises its clients to gather evidence of their authorship and work process, which can sometimes be substantiated by Google Docs or Microsoft Word history. Timestamps, outlines, notes, and research materials are also important. Terrill said the firm reviews metadata, compares a student's writing samples, and looks over the instructor's communications about the assignment in question. Other factors, like neurodivergence and being a non-native English speaker, matter too. AI detection tools, which faculty often rely on, may falsely flag those students' work more frequently than their neurotypical, English-speaking peers, according to Terrill. If the charge is based on the finding of an AI detection tool, Terrill said it's crucial to know which program, because it may allow the student to challenge its reliability. Students don't have much time to collect the necessary evidence, said Miltenberg. That's because, in his experience, academic integrity cases unfold much faster than other misconduct or integrity cases, which may take months to investigate because they involve sex discrimination, harassment, or sexual assault. "It happens boom, boom, boom," Miltenberg said of AI cheating allegations. A student could be accused on a Tuesday, meet with an administration official two days later, and be given an ultimatum that Friday. If they don't agree to a sanction, the charge will move to a hearing board, an institutional panel that reviews the case and decides the student's fate. "It really moves very fast," Miltenberg said. "So it doesn't lend itself to someone getting their balance after what most students feel is a gut punch." Hahn said administrators told students she later represented that they shouldn't hire a lawyer. She believes that's largely because university and college investigation offices are "completely buried" by AI cheating cases and want them resolved as soon as possible. Legal representation can, of course, extend the process with requests for evidence and so on. Hahn described one case in which a student was accused of AI use in a math assignment because they didn't cite a specific formula. The professor failed the student as a consequence, an outcome that Hahn managed to get overturned. In some instances of disclosed AI use, Hahn and her team know the administrators and can appeal to them for an alternative sanction before the hearing that won't jeopardize the student's future. That might stringent parameters for continuing their education, such as probation or a required medical leave of absence. "The dismissal or failures -- that will follow them for life," she said. "If they can get back in and finish their degree -- it was a bad moment in their life, but they can overcome it. People have bad moments in their lives." Leniency, however, is not much of an option if the student has a history of cheating or academic integrity violations. Lawsuits are a dicey strategy because courts will not grant students anonymity in these cases, Miltenberg said. So suing the school means a student must "out" themselves to "get justice," he added. The resulting court documents will be publicly searchable and include the student's name in association with an academic integrity violation. Miltenberg said the way these cases are currently handled puts every student in a potential bind. "There is no clear path at any institution right now," he said, noting that any appearance of cheating can trigger an investigation. At the same time, what that looks like is subjective to the faculty member or teaching assistant who made the allegation.

One in 10 college students now use AI to cheat, and universities can't keep up

Campus honor code violations used to have a face: the student who copied an essay or snuck notes into an exam. Since 2023, that face has blurred. Generative AI muddied the line between getting help and submitting work that isn't yours. A survey of nearly 96,000 students is now the first to measure, at scale, just how far students have actually crossed that line. Rene Kizilcec is an associate professor of information science at Cornell University. She studies how students learn with technology. Kizilcec partnered with Igor Chirikov of the University of California, Berkeley (UC Berkeley). Chirikov directs a large annual student survey. The team's dataset included responses from more than 95,000 students at 20 major public research universities across the country. That scale makes it the largest look yet at how undergraduates use generative AI in coursework. The researchers used responses from an existing annual undergraduate survey that already tracks student belonging and engagement. By adding questions about AI during the 2023-24 academic year, they were able to compare usage patterns across majors and demographic groups. Use varied dramatically by major. Computer science students were the heaviest users of ChatGPT and similar tools, with roughly six in ten reporting regular help on assignments. Among arts students, only about a quarter said the same. Disciplines built around data and code clustered near the top. Those built around interpretation and craft sat near the bottom. The spread reflects where AI already plugs neatly into the daily workflow. Roughly four in ten students used AI at least monthly for coursework. That puts adoption somewhere between casual and routine - common across campus, but not yet the default in every classroom. Cheating is the kind of thing students don't love to admit. Direct survey questions about it almost always undercount. The team turned to a method called list randomization. Students saw a short list of statements and reported how many applied - not which ones. Adding an extra item about using AI to cheat on some surveys let researchers back out a rate no one had to confess to. Around one in 10 students appeared to have used AI to cheat. The number was lower than some alarmed commentaries had suggested, but still large enough to concern universities. Earlier interview-based studies reached different numbers depending on how directly they pressed the question. The cheating wasn't spread evenly. Daily AI users cheated at much higher rates than occasional ones. Roughly a quarter had crossed the line. Monthly users sat closer to one in 14. That gap changes how universities should think about the problem. AI cheating, by this survey's count, concentrates most heavily among the most frequent users. Casual users are mostly working within acceptable lines. Heavier users weave AI into more parts of their workflow, and the survey can't say precisely why the cheating rate climbs with usage. Some daily users may not even realize when they've crossed the line. Use also split along gender and racial lines. Around a third of female students reported regular AI use, against nearly half of male students. Underrepresented racial minorities used the tools less than white and Asian peers. These differences echo earlier research on who picks up new digital tools first. But they raise a fresh worry: students behind on AI familiarity now may struggle to catch up later, in school and out of it. Kizilcec warned that careless rollout of AI-aware assessments could widen the very gaps the survey uncovered. The point isn't to slow adoption - it's to keep equity in sight as the tools and tests evolve. What should universities do? The authors lay out three options for assessment reform, none of them clean. One sends students back to the proctored classroom: pen, paper, and an instructor watching the door. Another keeps take-home work but draws clearer lines about acceptable AI use, so students and instructors share a definition of cheating. A third option pulls AI into assignments on purpose, treating it as part of the skill being tested. Each path has costs. Proctored exams measure only what students can do under stress. Clearer rules need faculty enforcement that often isn't there. Integrating AI rewards students who already own the better tools. A tension the literature on assessment redesign keeps chasing. Before this study, researchers mostly relied on anecdotes and small surveys. Now they have a nationally scaled estimate showing that AI use is widespread, while cheating is concentrated among the heaviest users. "Assessment reform is necessary and urgent," said Kizilcec. What changes next sits with professors and provosts, not students. Some courses will pull back to in-person exams. Others will grade smart AI use rather than its absence. For students starting college this fall, the changes could appear as early as the first semester, with more handwritten midterms and more syllabi clearly spelling out which chatbot prompts are allowed. Some courses may even grade students on how effectively they use AI tools. Like what you read? Subscribe to our newsletter for engaging articles, exclusive content, and the latest updates.