The content of this guide is primarily designed for students at Chalmers, but is relevant and useful for everyone who is interested. As a teacher, you can recommend and link to this guide in all your courses.
If you are a teacher and would like to contact the library to organize a learning opportunity about AI and chatbots, you are most welcome to contact us via email: edu.lib@chalmers.se.
You, and your students, have already heard of and worked with critical source evaluation. Being source critical means evaluating information based on its credibility. It involves assessing information by examining the processes through which it was produced and how it has been presented, in order to use it appropriately.
Since generative AI has made it incredibly easy to create content, today there is an abundance of misinformation (false information being shared without the intention to spread lies), disinformation (false information that is spread deliberately, the person sharing knows that the information is not accurate) and malinformation (the information itself is correct but taken out of context and given new meaning, which makes it misleading and/or harmful.
Figure 8. Misinformation, disinformation and malinformation. Based on Haider and Sundin (2022).
Today there is a great need not only to be critical of information but also to feel confident in knowing what contexts and through which processes credible information is created, something we can call source trust.
The ability to find, evaluate and use information also falls under the umbrella term Media and Information Literacy. All librarians work actively with this area, especially in their teaching sessions. In higher education it can be how peer review works, how to search for information in scientific databases or write correct source references.
Ever since the advent of ChatGPT, AI and chatbots have been included in Media and Information Literacy. Knowing how generative AI (Large Language Models and chatbots) works is the basis for understanding the limitations and potential of the technology. It is also important to be aware of the ethical aspects that come into play in the manufacturing and distribution of AI tools, such as equality and sustainability. There are complex issues around information security, power structures, technology dependency and intellectual property that are also important to consider.
The following resources are not intended to represent everything that is available at Chalmers, butmeant to be an introduction to what is offered. New resources and material is continaually added. This list was compiled on 2025-06-26.
Rules, policies and guidelines:
Resources and skills development: