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Denmark's AI Cheating: 77 Cases at CBS

By Lars Hansen •

Danish universities face a new wave of cheating, with Copenhagen Business School reporting 77 AI-assisted cases. The disparity in numbers highlights a major challenge for academic integrity and future workforce skills.

Denmark's AI Cheating: 77 Cases at CBS

Denmark's leading business school has identified 77 cases of suspected AI-assisted cheating this academic year, a figure that starkly contrasts with the seven cases reported at the University of Copenhagen. This discrepancy, revealed in data from the two Copenhagen-based institutions, highlights the uneven and rapid emergence of a new challenge for academic integrity. For a nation that prides itself on a transparent and equitable education system, the arrival of generative AI tools like ChatGPT has created a complex new frontier in the classroom and the exam hall.

A Stark Discrepancy in Numbers

The numbers from Copenhagen Business School (CBS) and the University of Copenhagen (KU) are difficult to compare directly, as detection methods and reporting protocols may vary. However, the sheer volume at CBS—over ten times that of KU—demands attention. A CBS spokesperson confirmed the 77 cases, noting they represent a significant new category within their academic integrity office. "We are observing a new type of violation," the spokesperson said. "It is not traditional plagiarism, but the unauthorized use of artificial intelligence to generate academic work." At KU, officials stated their seven registered cases are treated with utmost seriousness, but acknowledged the challenge of detection is still evolving.

This divergence may reflect differences in assessment styles. CBS, with its focus on reports, essays, and case studies, may have assignments more susceptible to AI text generation. KU, with its broader range of scientific and humanities disciplines, might utilize more varied exam formats. Professor Niels Jakobsen, an education ethicist, suggests the gap is a warning. "A low number does not necessarily mean low occurrence. It may mean we are not looking correctly, or that the tools to identify AI-generated content are not yet effective," Jakobsen said. "The 77 cases at CBS likely represent just the visible tip of the iceberg across the entire sector."

The Business School Conundrum

The high incidence at CBS resonates deeply within Denmark's business community. CBS is a primary pipeline for talent into Copenhagen's financial district, the Øresund region's tech hubs, and the burgeoning renewable energy sector. If future managers and analysts are not developing independent critical thinking, the long-term implications for Danish corporate innovation and ethical standards could be significant. "Business education is fundamentally about training judgment, analysis, and ethical decision-making," said Anna Bergström, CEO of a Copenhagen-based green tech startup. "If AI is used as a shortcut, we risk graduating students who are proficient with a tool but lack the foundational ability to think for themselves. That's a direct business risk."

CBS has responded by intensifying efforts to educate both students and faculty. Workshops on responsible AI use and updated academic integrity policies that explicitly mention AI tools are now being rolled out. The school is also exploring technological solutions, including AI-detection software, though these tools are known to be imperfect and can raise false flags. The goal, administrators say, is to create a culture of clarity where the rules of engagement with AI are unambiguous.

Policy in the Making

Nationally, Danish universities are navigating this new terrain without a unified playbook. The Ministry of Higher Education and Science has issued guidelines urging institutions to develop their own policies, leading to a patchwork of approaches. Some are moving towards AI-proctored exams or in-person written tests. Others are redesigning assessments to be "AI-resistant," focusing on process, personal reflection, oral examinations, and analysis of very recent events not yet in an AI's training data.

"The solution cannot be a policing arms race alone," said Education Minister Mats Persson in a recent committee hearing. "We must adapt our teaching and evaluation to the reality of the tools that exist. This is about harnessing the potential of AI for learning, while firmly defending the core principles of academic honesty that underpin our system's credibility." This tension between prohibition and integration is at the heart of the debate. Should universities spend more resources on detection, or on reinventing how they teach and assess?

The Global Context and Local Impact

Denmark is not alone. Universities from Australia to the United States are reporting similar surges in AI-related misconduct cases. However, the Danish response will be closely watched due to the country's strong emphasis on digitalization and trust. A failure to manage this issue could tarnish the international reputation of Danish higher education, a key export sector that attracts thousands of fee-paying students annually. Furthermore, for a small, trade-dependent economy, a slip in educational quality could impact the skilled workforce that drives exports in sectors like pharmaceuticals, renewable energy, and agri-tech.

Experts argue that the ultimate impact goes beyond grades. "We are teaching a generation how to interact with a transformative technology," said Dr. Ida Larsen, a tech ethicist at Aarhus University. "If the lesson they learn at university is to use it secretly to deceive, that sets a dangerous precedent for their professional lives. Conversely, if we teach them to use it openly, ethically, and as a complement to their own intellect, we empower them for the future economy."

Looking Ahead: Integration or Eradication?

The path forward for Danish universities appears to be bifurcating. One route involves stricter surveillance and harsh penalties to deter AI cheating. The other involves a fundamental rethink of pedagogy, where AI use is taught, regulated, and even required for certain tasks, much like calculators once were in mathematics. The latter approach requires significant investment in teacher training and curriculum development.

The 77 cases at CBS are more than a statistic; they are a catalyst. They force a conversation about what we value in education and how we measure it in the 21st century. As Denmark positions itself as a leader in digital solutions and green transition, the integrity of its academic output is non-negotiable. The question now is whether its universities can move fast enough to turn a threat to academic integrity into an opportunity for educational evolution. The answer will shape not just graduation ceremonies, but the future competence of Denmark's business elite and the resilience of its knowledge-based economy.

Published: December 18, 2025

Tags: AI cheating Denmark universitiesCopenhagen Business SchoolDenmark education policy