Use of artificial intelligence
Different artificial intelligences may provide incorrect information on research topics or even create fictitious sources, which is why the output must always be checked. In addition, some content may contain bias (e.g., discriminatory content), which means the output should be critically assessed. In general, AI outputs are often a good starting point, but they must be critically reviewed and adapted.
AI tools can be applied in different ways. Here are a few examples:
| Area of Application | Description | Example Tools |
| Brainstorming | Ideas for examples, introduction, headings, study design, implications, further research | Perplexity, You, Writsonic, Flow GPT, ChatGPT, Bing |
| Research | References to relevant data and facts, source recommendations | Connected papers, Elicit, Explain papers, Research rabbit |
| Table of Contents | Developing a rough structure for a seminar paper | ChatGPT, Writesonic |
| Text Creation | Formulations, spelling check | ChatGPT, DeepL Write, Grammarly |
| Translations | Translation of literature, translation of qualitative data | DeepL |
For the sake of transparency, when using artificial intelligence, a table should be included in the appendix that specifies the exact use and input prompts. If the tool used offers the option to generate a traceable link, this should also be provided. This is the case, for example, with ChatGPT.
Here is an example of a table:
| Tool | Description of use | URL (if applicable) |
| ChatGPT | Support with outline drafting | ChatGPT history link |
| ChatGPT | How to properly use AI in acemedic writing? | ChatGPT history link |
| Deepl | Translation of abstracts |