Best Practices

• It is important to familiarize yourself with the guidelines of the University of Warsaw regarding the use of artificial intelligence tools in the education process, as described in Resolution No. 98 of the University Council for Education dated December 8, 2023.
  → UW Guidelines for genAI

• It is advisable to check whether the Teaching Council in your Faculty or the appropriate Discipline Council has introduced additional rules regarding the use of generative AI tools.
  → UW Guidelines for genAI

• Confidential and personal data must not be entered into generative AI tools (e.g., first name, last name, index number, phone number, PESEL, etc.). Remember that data produced by students and employees of the University, such as coursework, exams, lecture presentations, or articles, is protected.
  → Data Security

• If you are unsure about the privacy and security policy of a given AI tool, assume that any entered and generated content may be shared.
  →  Data Security

• Ethical challenges related to the creation and application of generative AI tools should be considered.
  → Ethical Challenges

• We encourage familiarizing yourself with thepractices and applications of generative AI tools. The report presents examples of the use of genAI tools in:
  → research, → teaching i → studying.

• A good practice is documenting the ways in which generative AI tools are used during studying and working at the University since you may be required to report their usage.
  → Monitoring genAI usage

• It is also crucial to critically verify content generated by AI, as you bear full responsibility for what you promote and publish.
  → GenAI verification

• Remember to properly cite content generated by AI, paying attention to the risk of "unintentional plagiarism".
  → Citing genAI

• It is worth developing competences related to the use of generative AI tools. We encourage you to familiarize yourself with the list of materials prepared by, among others, DELab UW
  → Competence development

• Generative AI is an evolving technology, and the recommendations presented are based on its capabilities as of October 1, 2024. They may change due to legal regulations or technological developments.

• It is worth adapting your courses and activities, to take into account both the potential and risks of generative AI tools.
  → GenAI in teaching

• At the beginning of any course, it is important to clearly define expectations for the use of generative AI and include them in the syllabus. If you use these tools in your teaching, let your students know.
  → GenAI in teaching

• If you’re offering generative AI tools as part of your course, be sure to include accessibility. Paid versions may offer “better” content, but not everyone has access to it. Some generative AI tools also have age restrictions.
  → GenAI in teaching

• It’s worth keeping in mind that generative AI detection tools can be fallible. Don’t base your assessment solely on their results.
  → GenAI detectors

• It is worth familiarizing yourself with the rules of using generative AI at different stages of the course: during classes, completing homework, coursework, or exams. If in doubt, consult with the instructors.
  → GenAI in studying

• If the instructor does not provide information about the use of generative AI tools as part of the course, follow the adopted university policies regarding the use of such tools, such as the Resolution or guidelines of the relevant Council
  → UW guidelines for genAI

• Studies are aimed at acquiring knowledge and developing skills. It is worth considering what competencies you want to acquire and adapting the way you use generative AI accordingly. By assigning tasks to generative AI, you may not acquire key competencies that would allow you to critically evaluate the results obtained.
  → GenAI in studying

• It is worth developing competences related to generative AI tools, because they may prove important on the labor market.
  → Competence development