Guidelines for the Use of AI at HVL
On this page you will find guidelines for the use of artificial intelligence (AI) for students and staff at HVL.
Guidelines for the use of artificial intelligence
The guidelines were written by the AI coordination group at HVL, which includes student representatives, academic and administrative staff. The guidelines were approved by the Digitalisation Council at HVL in May 2024. The three texts are available below. The first text on "Artificial intelligence (AI) and ethics" is also available in an A3 poster format (pdf, 696 kB).
1. Artificial Intelligence (AI) and Ethics
Artificial Intelligence (AI) and Ethics
Think Critically and Use Common Sense
- You are the Creator of Your Own Work
Even with the availability of AI tools, you remain the author of your work. This includes text, illustrations, images, formulas, or code.
- Collaborate Ethically
It's okay to use AI as a collaboration partner, as working together can improve your skills. Does the AI tool provide ideas that are new to you? Double-check and evaluate them based on reliable sources.
- Ensure AI Accuracy
Just like any other tool, you are responsible for ensuring AI tools work correctly. Remember, AI can make mistakes just like any other tool.
- AI as a Discussion Partner
AI can be helpful for discussions and brainstorming ideas. But don't rely on AI more than you would trust advice from friends or family. AI can still make errors.
- Make Informed Choices
Consider what you hope to achieve with AI tools. Are you looking for a shortcut, or genuine support for your work and learning?
- Verify Information
As the author, you have a responsibility to ensure the accuracy of your work. Don't assume AI tools are always correct; they may very well hallucinate and generate false information.
- Be Critical of Information
Be cautious with information and assistance from AI tools. Many AI tools base their answers on available data, which may not always be accurate. Verify any information you receive.
- Check AI-Generated Content
AI-based tools are not so different from other digital tools. Remember that any academic content generated must be checked against a credible source.
Your work - your responsibility!
2. Guidelines and Advice for Good AI-supported Teaching
Guidelines and Advice for Good AI-supported Teaching
A. Understanding, critical thinking and staying informed about AI
As a teacher, it is crucial to be constantly aware of the following aspects when using artificial intelligence (AI) in teaching:
- Understand how generative AI works:
- Recognize that AI, as Large Language Model (LLM), works by analysing large datasets to generate new content. It identifies patterns in this data to produce results similar to the training material.
- Remember that AI does not 'understand' content in the same way as humans, but operates through pattern recognition and predictive modelling.
- Be aware of data bias in AI:
- Understand that the results from AI may reflect biases present in the training data. This may include cultural, gender-related or ideological biases.
- Incorporate this understanding into your teaching, to ensure a critical and informed approach to AI-generated content.
- Recognize and address AI hallucinations:
- Be aware that AI can sometimes generate 'hallucinations' – results that are factually incorrect or meaningless – due to its predictive nature.
- Always verify the accuracy of AI-generated content before using it in educational contexts.
- Promote critical thinking and fact-checking:
- Encourage students to critically evaluate and fact-check AI-generated content. Create a learning environment where analytical thinking and questioning are valued.
- Stay informed about AI developments:
- Continuously update your knowledge on the latest development in AI. This will help you adapt your teaching methods to effectively utilize the latest AI technologies.
B. Ethical integration of artificial intelligence and progressive assessment practices
When adopting artificial intelligence (AI) in education, it is crucial to approach it with an ethical and critical mindset. This section outlines educators' responsibilities when using AI, ensuring that our practices not only support learning, but also uphold ethical standards.
- Encourage the use of AI and adapt assessment formats:
- Use AI as a learning tool: Systematically test AI in teaching. Encourage students to use it as a supplement to their own learning and critical thinking.
- Ensure equal learning opportunities for all students:
- Equal access for all students: Ensure that all students have the same opportunity to access and learn from AI tools if they are a compulsory part of the teaching. Equal access is essential to avoid digital divides in the students’ learning experience.
- Ethical use of AI and the teacher's responsibility:
- Be aware of ethics in AI: As a teacher, you must be aware of and address ethical issues such as data integrity, consent, copyright and AI bias. How AI is used in your classroom reflects your commitment to these ethical standards.
- Take responsibility for the use of AI: It is essential to have a good understanding of how AI works and its limitations.
- Development of examination and assessment strategies:
- Revise approaches to student evaluation and assessment. Adapt your assessment methods to:
- Assessments in environments that do not allow the use of AI tools, such as in-person exams and oral assessments.
- Assessments in environments that allow the use of AI tools and explicitly recognize that students collaborate with and use AI, so that learning outcomes are assessed with this in mind.
- Regularly update assessment methods: Continuously develop ways to test and assess students' learning, considering the evolving use of AI tools.
C. Improvement of teaching and learning with AI
Using artificial intelligence (AI) in education is not just about keeping up with technology – it can also significantly enhance and transform the teaching and learning experience. Here are some measures to consider:
- Integration of AI in the curriculum:
- Include AI as a learning enhancement: Use AI to add depth to your teaching. This could involve utilising AI for personalised learning experiences or as a tool to automate certain tasks, giving you more time to facilitate student engagement.
- Make AI a topic in your teaching: Consider including AI as a topic in your subject, if appropriate. This helps students understand the technology they are using and its broader implications.
- Collaborative learning with AI:
- Promote collaboration with AI: Facilitate projects where AI is part of group work. This will not only help students learn to use AI constructively, but also teach them the value of collaboration in a technological setting.
- Discussion and critical analysis: Encourage critical discussions about AI-generated results, whether text or images. Critically explore how AI affects your field of expertise. This promotes critical thinking about the role of technology in society and its impact on academic subjects.
D. Support, accessibility and inclusion in the use of artificial intelligence (AI)
To successfully integrate AI into your education, it is essential to offer sufficient support, provide opportunities to develop AI expertise, and ensure that AI tools are accessible and inclusive. Here are some measures to consider:
- Offer support and resources:
- Technical and pedagogical support: Ensure that resources are available to both you and your students for learning about and effectively using AI. HVL provides training and user support for AI.
- Continuous learning and development: Stay engaged in professional development to keep your skills and knowledge of AI up to date.
- Ensuring accessibility and inclusion:
- Make AI tools available: Ensure that all students, regardless of their technical skills or background, have access to the AI tools offered by HVL. This helps prevent a digital divide in the classroom.
- Inclusion in AI: Be mindful of the diverse needs of your students. The use of AI should support the learning process for everyone and should not create barriers.
Limitations and biases in AI: Be aware of inherent biases in AI tools. Facilitate critical examination of these biases and the results generated by AI.
3. Guidelines and Declaration of Collaboration
Guidelines and Declaration of Collaboration
A) Guidelines for Students
Many students use Artificial Intelligence (AI) in their studies. If all support resources are allowed during examination, you can use AI tools, such as ChatGPT (or comparable tools).
When taking an exam at HVL, you are responsible for your own work. If you choose to use information from AI tools (like ChatGPT), you must verify the content. Cite your sources and provide references! If the use of AI has influenced your findings, analysis methods, or data processing, you must account for this use in your work.
Read the ethical guidelines before starting your work. Here you will find advice on how to use AI in an appropriate and transparent manner.
These guidelines apply to all of HVL, but remember that specific programmes or courses may have additional rules for required coursework or exams. In such cases, the course coordinator will inform students about the applicable guidelines.
B) Declaration of Collaboration
Has the work been done by you alone or in collaboration with others? Tick the appropriate box:
☐ The work has been done by me alone.
☐ The work has been done in collaboration with others. I am responsible for the entire work together with the co-authors.
☐ The work has been done in collaboration with others. I am responsible for parts of the work. The parts I am responsible for are specified in the text.
C) Guidelines on the Use of Digital Tools and Artificial Intelligence (AI)
Tips for the methods section of your work and/or discussions with your supervisor about AI-based tools.
Note: The use of AI is allowed unless specified otherwise in the assignment. By clarifying your use of AI, you provide transparency about your work process and methods.
Examples of AI use:
- Text generation, where parts of the text are produced using AI tools.
- Writing assistance, where one or more ideas or methods are suggested and developed with the help of AI tools.
- Analysis, where AI tools have been used for data processing and analysis.
- Coding assistance, where parts of the code/algorithms in the work are created with the help of AI tools.
- AI tools have been used for producing results – such as figures, tables, numerical values, and similar elements.
- Image creation: One or more images/figures are generated using AI.
If AI tools have been used in other ways – specify.