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AI in higher education

Generative AI is rapidly developing and increasingly impacting higher education.
There are undeniably many opportunities, but also challenges and risks that we must be able to manage.

Immediately after ChatGPT was launched in November 2022, much of the universities' focus was on how to handle the risks of AI and cheating. Now, the discussion is broadening to how generative AI can affect all the 'pieces of the pie' in the picture.

Important to know

To support you in using AI services, SLU's legal counsel have put together some key advice to consider when using AI in your work.

If you test new AI services, don't forget:

  • Currently, you often need to create private accounts to explore many of the new AI services on the market (and several cost money).

  • Critical thinking: Be aware that AI-generated material may contain inaccuracies, distortions, bias, and copyrighted material.

  • Security awareness: Pay attention to security aspects when testing AI systems.

  • Privacy protection: Be careful about what information you share with AI to prevent the spread of sensitive and proprietary information.

Below are some concepts that may be useful to know.

AI-typAI.png

Artificial intelligence (AI) is the ability of computer programs to mimic the natural intelligence of humans.

Generative AI is a branch of artificial intelligence (AI) that focuses on creating new content based on training data for example text, images, sound, video, music, etc.

AI-typLLM.png

Large Language Models (LLM)
(ChatGPT is based on GPT* )
LLM is the machinery that allows today's AI services to generate text

*GPT = Generative Pre-Trained Transformer.

AI-typMLLM.png

Multimodal LLM (MLLM) is an AI model that can process and generate multiple types of data, such as text and images.

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Published: 21 February 2025 - Page editor: ld-webb@slu.se
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