Faculty of Science, Technology and Medicine
Faculty of Law, Economics and Finance
Faculty of Humanities, Education and Social Sciences
Interdisciplinary Centre for Security, Reliability and Trust
Luxembourg Centre for Systems Biomedicine
Luxembourg Centre for Contemporary and Digital History
Luxembourg Centre for European Law
Luxembourg Centre for Socio-Environmental SystemsAI and Plagiarism: Issues and Best Practices
Recognizing and avoiding plagiarism is an essential part of being a university student. Plagiarism not only breaks academic rules but also undermines the purpose of higher education: developing your own knowledge, skills, and ideas. By learning how to properly acknowledge sources and responsibly use AI tools, you will strengthen your academic integrity, build confidence in your writing, and prepare for professional and scholarly success.
This course introduces the concept of plagiarism, why it matters, and how it can be avoided in academic work. We will explore different forms of plagiarism—such as copy-and-paste writing, self-plagiarism, and plagiarism involving artificial intelligence (AI)—and discuss their consequences. Special attention will be given to AI tools, which can both create risks of plagiarism and provide new ways of detecting and studying it. Through interactive discussions, practical exercises, and case studies, you will develop the skills to recognize plagiarism, cite sources correctly, and use AI tools responsibly.
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You will learn
- Define academic integrity and plagiarism: Explain what constitutes academic integrity in a university setting and identify different forms of plagiarism, including self-plagiarism and unintentional plagiarism.
- Understand the consequences of academic misconduct: Recognise the academic and disciplinary consequences of violating integrity policies and understand how plagiarism affects personal learning and academic reputation.
- Explore the role of AI in academic work: Understand how generative AI tools (e.g., ChatGPT, AI writing assistants) are being used in academic contexts and identify appropriate and inappropriate uses of AI in coursework and research.
- Recognise AI-related academic integrity risks: Evaluate the risks of over-reliance on AI tools, including lack of originality and improper attribution. And understand how AI-generated content can inadvertently lead to plagiarism or academic misconduct.
- Apply best practices for ethical use of AI Tools: Learn how to properly acknowledge the use of AI tools where required and develop critical thinking skills to review and validate AI-generated content before using it academically.
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