Since the release of ChatGPT and other generative AI tools, research institutions as well as various stakeholders such as research funders and publishers have been discussing how the use of AI in research should be dealt with from the perspective of research integrity. While a consensus on some matters was quickly reached, other issues are still being debated. This has led to a rather heterogeneous policy landscape, which will likely remain in flux due to the fast-paced nature of AI. Additionally, a recent survey by Wiley found that nearly two-thirds of respondents indicated that the lack of clear guidelines prevents them from using generative AI to the extent that they would like. Many German universities still lack AI guidelines specifically for PhD students and existing ones often remain superficial.
In this workshop, participants will learn to navigate the existing AI policy landscape so they can use genAI responsibly and in line with research integrity. The workshop has a practical bend covering how to disclose different use cases of AI in publications and what to keep in mind when it comes to working with AI in research, for example regarding peer review or using AI-generated images. Participants are welcome to bring questions and examples from their own research projects.