Teaching & Learning
- The sources frame the documents as general recommendations for responsible use, but they do not define a specific coursework policy
- The university-wide materials provided do not set explicit rules for student use of AI in essays, homework, projects, or other graded coursework
El Grup de Treball sobre l’Impacte de les Eines basades en Intel·ligència Artificial Aplicades a la Docència de la URL proposa 10 recomanacions per al bon ús de les eines basades en Intel·ligència Artificial (IA) que pretén ser un decàleg amb consells clau per fer-ne un ús responsable
- The university recommends treating AI as a support tool rather than a substitute for human judgment
- In the provided materials, AI assistance is described as helpful in some contexts, but human interpretation and decision-making remain necessary
Si bé és cert que les eines basades en IA poden ajudar en la detecció i l’anàlisi de patologies i indicis, és imprescindible la interpretació per part de professionals de la salut.
Una bona autoestima és essencial per poder prendre bones decisions i fer un bon ús del raonament per tenir clar que les eines d’IA són només un suport. A més, s’ha de prevenir la dependència tecnològica.
Research
- The materials recommend that AI outputs based on data be handled with human oversight and with attention to bias
- They state that data used with AI should be representative and diverse, and that identified biases should be proactively and transparently corrected
Les dades usades han de ser representatives i diverses per evitar la reproducció de prejudicis i discriminació.
És necessari avaluar i corregir els biaixos identificats de manera proactiva i transparent.
- They emphasize ethical application of AI for the benefit of people and society and call for shared standards and attention to emerging ethical challenges
- The university’s materials present an ethics-oriented, institution-wide approach to AI use rather than a specific research-integrity rule for grants or ethics applications
These recommendations have been developed by the Working Group on the Impact of Artificial Intelligence Tools Applied to Teaching-URL. As a result of interdisciplinary collaboration, the Working Group seeks to establish ethical guidelines and practices to ensure that the use of AI-based tools is beneficial and respectful of the values of the whole university community.
És bo incentivar el diàleg entre artistes, científics de dades, experts en ètica i desenvolupadors d’IA a fi d’ajudar a constituir estàndards compartits i abordar desafiaments ètics emergents.
Academic Integrity
- The university recommends acknowledging human contribution and citing the role of AI in the final output of creations
- This is framed as a recommendation tied to authorship and proper attribution rather than as a formal submission rule for all academic work
Cal reconèixer la contribució humana i citar el paper de la IA en el resultat final de les creacions, respectant l’autoria i l’adequada atribució.
Institutional & Administrative
- They do indicate that the recommendations were developed by a teaching-related working group for the university community
- The provided materials do not establish specific rules for faculty use of AI in grading, feedback, lesson planning, recommendation letters, or administrative communication
These recommendations have been developed by the Working Group on the Impact of Artificial Intelligence Tools Applied to Teaching-URL. As a result of interdisciplinary collaboration, the Working Group seeks to establish ethical guidelines and practices to ensure that the use of AI-based tools is beneficial and respectful of the values of the whole university community.
- The provided sources do not define approved AI platforms or a university data-classification scheme for AI tools
- They do, however, stress that people and institutions should know AI legislation and obligations, and they note legal requirements for some AI systems, including chatbot transparency
És important que persones, institucions i empreses coneguin la legislació en matèria d’IA per tal de no ometre les seves obligacions ni haver d’afrontar penalitzacions.
Eines com els xatbots, que estan obligades a explicitar que no són fonts d’informació fiables i que no estan actualitzades.
- The university has an institutional AI guidance effort led by a working group focused on AI’s impact in teaching
- Its stated aim is to develop ethical guidelines and practices for beneficial, values-respecting AI use across the university community
These recommendations have been developed by the Working Group on the Impact of Artificial Intelligence Tools Applied to Teaching-URL. As a result of interdisciplinary collaboration, the Working Group seeks to establish ethical guidelines and practices to ensure that the use of AI-based tools is beneficial and respectful of the values of the whole university community.
El Grup de Treball sobre l’Impacte de les Eines basades en Intel·ligència Artificial Aplicades a la Docència de la URL proposa 10 recomanacions per al bon ús de les eines basades en Intel·ligència Artificial (IA) que pretén ser un decàleg amb consells clau per fer-ne un ús responsable
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About Ramon Llull University's AI Policies
Ramon Llull University has defined AI policies in 8 of 12 categories, with an overall coverage score of 67%.
The university recommends acknowledging human contribution and citing the role of AI in the final output of creations. This is framed as a recommendation tied to authorship and proper attribution rather than as a formal submission rule for all academic work.
No explicit detection or enforcement process is currently defined in the available policy sources.
The provided sources do not define approved AI platforms or a university data-classification scheme for AI tools. They do, however, stress that people and institutions should know AI legislation and obligations, and they note legal requirements for some AI systems, including chatbot transparency.