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AI literacy: the road to strong AI practice

AI literacy: the road to strong AI prac­tice

University students are expected to develop and eventually master critical and reflective use of generative AI. It is called AI literacy; a skill that comprises much more than writing good prompts and getting perfect answers.

AI literacy: the road to strong AI prac­tice

University students are expected to develop and eventually master critical and reflective use of generative AI. It is called AI literacy; a skill that comprises much more than writing good prompts and getting perfect answers.

The real problem is not whether machines think but whether men do
B.F. Skinner at the Harvard Psychology Department, circa 1950 (Wikimedia Commons)

B.F. Skinner

Contingencies of Reinforcement; A Theoretical Analysis, 1969

In an academic context, AI literacy refers to the ability to understand the technology behind the machine, to see through its built-in flaws and learn to use it as a cognitive sparring partner rather than a shortcut. It is a paradoxical collaboration: the technology contains great potential for supporting your learning, but if you leave the thinking to the machine, you risk short-circuiting your own academic development. 

Six roads to strong AI practice

To get you started working with AI, academically and proficiently, we have collected and arranged knowledge, questions for reflection, and concrete study techniques in six main themes.

AI literacy: prepare for an AI-influenced world

Understand the basics of competently navigating the possibilities and pitfalls of the technology.

Good academic practice

Know the rules regarding transparency, source criticism and correct referencing.

Ethics, disparity and bias

About ethics, bias and distorted training data, and the machine mirroring its own assumptions.

Critical thinking in the age of AI

Avoid the illusion of fast-tracking your comprehension of a subject by actively creating reflexive resistance in your work process.

Learning with generativ AI

Move away from unreflective delegation to engaging with the techology in an actual learning partnership.

AI in project groups

Find common ground in your approach to use of AI and maintain the group's cognitive ownership of the project.

How to use the material

The content on these pages is developed as teaching material to support your academic development. It is not a set of legally binding rules for how and when your can use generative AI in your studies.

The topics may contain some academic nuances depending on study programme and the task at hand. The material adresses key problems, and provides you with concrete tools, but it is your responsibility to adhere to the specific rules of your curriculum. 

Use the pages, the practical directions for action, and questions for reflection, to develop your ability to exercise academic judgement. Make it a joint project and try the question for reflection in your project group ...

AI in your studies — your overview

Students entry point to information about AI in your studies. The pages guide you through the many questions that arise at the intersection of AI and education

The University's official rules regarding use of generative AI

Read the official rules that apply to use of generative AI in your studies and in connection with exams.