Artificial Intelligence (AI) Library Guide
NEW: Commission launches ‘Resource for AI Science in Europe'
On 3 November 2025, at the European AI in Science Summit in Copenhagen, organised by the European Commission and the Danish Presidency of the Council of the EU, the pilot of RAISE – the Resource for Artificial Intelligence Science in Europe was launched.
This new virtual institute is a flagship initiative under the Apply AI Strategy and the European Strategy for Artificial Intelligence (AI) in Science.
Find the documents below:
Ethical use of Artificial Intelligence
Artificial intelligence (AI) is becoming increasingly common in academic life, offering support with writing, research, organization, and more. While these tools can be helpful, they also raise important questions about ethics, academic integrity, and responsible use.
This LibGuide provides a comprehensive overview of the ethical use of AI in academic settings. It includes guidance on key issues such as:
- Plagiarism and how to properly cite or disclose AI use
- Bias in AI-generated content and how to identify it
- The benefits and limitations of using AI tools
- University guidance on acceptable use in coursework and research
- Data security and privacy concerns when interacting with AI systems
Whether you're using AI to brainstorm, edit, or explore new ideas, it's important to understand your responsibilities as a student or researcher. This guide will help you make informed decisions and use AI in ways that align with the values of academic integrity and critical thinking.
Benefits and Limitations of AI
As artificial intelligence (AI) becomes more integrated into education, research, and everyday life, it's important to understand both its advantages and its limitations, especially when using AI tools in academic settings.
| BENEFITS OF AI IN EDUCATION AND RESEARCH | LIMITATIONS AND CAUTIONS |
|---|---|
| Idea Generation and Brainstorming AI tools can help jumpstart thinking by suggesting research topics, outlining arguments, or generating questions for further exploration. |
Accuracy and “Hallucinations” AI can generate incorrect or misleading information that sounds plausible. These “hallucinations” may include fake citations, made-up facts, or flawed reasoning. |
| Summarizing and Organizing Information Generative AI can summarize articles, simplify complex concepts, and help structure essays or reports. |
Bias in Output AI tools reflect the biases in their training data, which can result in outputs that are unintentionally biased, offensive, or discriminatory. |
| Language and Writing Support AI-powered writing tools can assist with grammar, clarity, and phrasing—helpful for both native and non-native English speakers. |
Privacy and Data Concerns Input entered into AI systems may be stored or used for training, raising concerns about sharing personal, sensitive, or proprietary information. |
| Efficiency and Productivity Automating routine tasks (e.g., transcriptions, coding help, data sorting) can save time and allow users to focus on deeper analysis. |
Lack of Source Transparency AI-generated content often lacks proper citations, making it difficult to verify claims or trace the original sources. |
| Accessibility Support AI can enhance accessibility for users with disabilities by converting text to speech, creating transcripts, or offering translation assistance. |
Overreliance and Academic Integrity Risks Using AI without proper citation or relying on it to complete assignments may violate academic honesty policies. |
AI can be a powerful support tool in your academic journey, but it shouldn’t replace critical thinking, proper research methods, or ethical practices. Use AI as a complement to, not a substitute for, your own work and judgment.
EU Copyright
In the EU, ethical and legal considerations around generative AI are strongly influenced by the AI Act, EU copyright directives, and evolving university policies. European institutions are actively balancing innovation and creators' rights.
The European Commission and ERA Forum have issued responsible AI usage frameworks for research, urging transparency, local data governance, and avoidance of AI in peer review or evaluation.
The European Commission also published the "European Education and Culture Executive Agency: AI report" on which the European Digital Education Hub’s (EDEH) squad on artificial intelligence in education searched for answers. What teachers should be aware of, understand, and be able to do and what kind of attitudes could support them?