KI-Toolbox
Artificial intelligence is already a factor at many universities. With the vast number of applications, teachers can quickly become overwhelmed. In addition, it is often not clear how good individual applications actually are. We present a selection of AI tools for various areas of application at the university.
Artificial intelligence in the university context
Among the AI tools that are available in their multitude and ever-growing number of AI applications, there are true all-rounders and special tools. Although it is always relevant on which data sets the underlying models were trained and how complex they are – see Stanford University’s distinction between foundation models and task-specific models – the models are being integrated into each other or tailored to specific application scenarios in increasingly complex software. In this article, we have summarized the most useful AI tools in the university context. The selection is based on the following four categories: usefulness in the university context, usability and functionality, accessibility as well as ethical and moral aspects. However, the field is changing so rapidly that we are constantly updating this article, and it is also advisable to stay up to date yourself to keep an eye on the latest developments and trends.
Data Protection & Accessibility
The data protection and accessibility of the applications presented here is not clear. TH Cologne can only guarantee data protection for the ChatGPT interface. That’s why you should not publish any data-sensitive content via AI applications!
Chatbots – the all-rounders of generative AI
A chatbot can communicate with users like a human to help them with various tasks. A Large Language Model is an advanced language algorithm that has been trained on large text data to understand and generate human-like speech. Chatbots often use such models to respond intelligently to requests.
Writing, translating, revising
AI tools are certainly suitable for working on your own texts. For example, you can check whether your texts are grammatically and orthographically correct. This is even possible if you upload entire documents and have them checked by the AI. The translation of texts is also possible.
Researching, capturing, summarizing
Scientific research takes time and cannot be completely replaced by AI tools. However, these tools are suitable for scanning more efficiently, which literature can be useful for your own scientific work. Particularly noteworthy are functions that place literature and keywords in relation to texts by other authors.
Creative design with AI
Artificial intelligence is able to generate new images from text input. The more detailed the description, the more accurate the result. Existing photos or videos can be manipulated with the help of AI.
AI for open educational resources and science communication
AI tools such as TTSfree, Pika, and Riffusion can be useful for communicating scientific content with or for students and for creating open educational resources. TTSfree enables the conversion of texts into audio tracks, Pika is used for video creation and Riffusion offers options for generating music with vocals.
Important information on correct licensing when using AI tools can be found in this article.
Any questions?
Contact digitalelehre@th-koeln.de!