General framework on the use of (Generative) Artificial Intelligence at Hasselt University:
Click here for the framework (Gen)AI@UHasselt (intranet)Please share your input on how you currently use or want to use GenAI in Research & Education at Hasselt University >> Go to the survey
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Reliability | Verifying and reproducing the information produced by AI. Also includes: bias, equality and non-discrimination |
Honesty | Disclosing that GenAI was used in what part of research (development, process, evaluation, communication) |
Respect | Taking into account the limitations of AI, its environmental impact and societal effects |
Accountability | Human agency at the forefront, taking responsibility for all output produced |
Remain responsible | Researchers are ultimately responsible for the integrity generated by the AI tools. They must be literate about using GenAI, thereby being aware of its limitations and biases. GenAI can never become an author/co-author because it cannot take responsibility. Material generated by AI that is false, cannot be used as a source. |
Use transparently | Be transparent when GenAI is used substantially in a research project, indicating its role, name, version, etc. Show awareness of the random nature of AI-generated content. |
Pay attention to IPR and privacy | Uploaded work into AI tools can be used for other purposes. Permission has to be given from third parties when using their personal data. Be aware of the privacy settings of the AI tool. |
Respect existing regulations | Pay particular attention to potential plagiarism when using outputs generated by AI. |
Get trained | Update yourself regularly on GenAI and share knowledge. |
Avoid GenAI when performing sensitive activities | Do not use GenAI for sensitive activities such as evaluation or assessment of papers (peer review). |
Please share your input on how you currently use or want to use GenAI in Research & Education at Hasselt University. Thank you very much!
Go to the survey