Generative AI at UW - Best Practices

Authors:
Renata Włoch
Katarzyna Śledziewska
Satia Rożynek
Michał Paliński
Joanna Mazur
Weronika Łebkowska

Report citation:
Śledziewska, K., Włoch, R., Rożynek, S., Paliński, M., Mazur, J., Łebkowska, W. (2024). Generatywna AI na UW - dobre praktyki. Uniwersytet Warszawski. DOI: 10.5281/zenodo.13938497

The report is also available in PDF format
(click to download the report)

At DELab UW, we deal with digital transformation on a daily basis. One of its latest manifestations is generative artificial intelligence (generative AI, genAI) - a technology we examine from various perspectives. We've already prepared initial reports on generative AI and education, as well as an in-depth analysis of the competencies needed in the era of AI in small and medium-sized enterprises. We investigate how employees perceive technological changes and seek creative applications of generative AI in processes. We have also organized courses on generative AI for researchers and the administration of the University of Warsaw. At DELab seminars, we are eager to share ideas on new applications of AI models in our work.

In this report, we present a collection of best practices developed based on a review of literature, UW guidelines and those of other universities, feedback from the UW community, and our team's experience using generative AI. We discuss, among other things, ways to utilize and cite generative AI, ethical challenges, privacy concerns, and suggest where to gather knowledge about generative AI and where to find prompt templates. We hope our recommendations, along with their rationale and practical tips, will be useful in research and teaching as well as in the study process.

The report publishes the initial results of a survey conducted by DELab UW among the academic community at UW, where we asked for opinions, usage methods, concerns, and expectations regarding generative AI. These results are linked to specific best practices so that you can see how your colleagues, students, and lecturers perceive and use generative AI. The report is in the form of an interactive website, which we plan to regularly update as generative AI tools evolve and regulations change.

In the report, we use the following designations for different groups within the academic community at UW:

Researchers

Educators

Students

Report Preparation

The report was prepared by the DELab UW team. The text of the report was written by Satia Rożynek, Michał Paliński, Dr. Joanna Mazur, and Weronika Łebkowska. Dr. habil. Katarzyna Śledziewska, prof. ucz., and Dr. habil. Renata Włoch, prof. ucz., were responsible for the conceptualization of the study and provided substantive supervision.

We extend our sincere thanks for the collaboration and valuable insights regarding the research to all team members, particularly Dr. Wojciech Hardy, Dr. Marta Kołodziejska, Dr. Agata Komendant-Brodowska, Monika Kot, Dr. Weronika Przecherska, Dr. Agnieszka Pugacewicz, and Dr. habil. Magdalena Słok-Wódkowska, prof. ucz. We also thank those who took the time to provide feedback during the pilot study - your contributions to the development of the questionnaire were invaluable.

Special thanks to the rectoral team, led by His Magnificence Rector Alojzy Nowak, for their support during the research process, in which the entire academic community of the University of Warsaw participated. We also thank the Deans of the units for helping to disseminate the survey among employees and students.

And above all, enormous thanks to you - our colleagues at the University of Warsaw and students who took the time to respond to our questions. It is with you in mind that we began sharing our knowledge on the applications of genAI, recording our conversations (link). We believe that the appropriate use of genAI in our community will open up new opportunities for us, both in academic work and teaching.

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