The use of generative AI systems must be ethical, responsible, appropriate and in keeping with the values of integrity, transparency and intellectual honesty, to safeguard the reputation of the University.

The contents generated by generative AI must be verified and critically evaluated, bearing in mind that these tools can generate inaccurate results or reflect biases present in the data or in the prompt, to avoid the dissemination of incorrect information or information that is not supported by scientific evidence.

Users of generative AI tools are personally responsible for the ethical and legal implications of using generative AI and for the results thus obtained.

It is essential to ensure that generative AI outputs do not infringe on copyrights or intellectual property rights, and that sources are always cited correctly.

Special care must be taken to avoid unauthorized use of content protected by copyright or other intellectual property rights.

The use of generative AI tools in research, teaching and administrative activities must be explicitly declared.

Accurate, complete and unbiased data is essential to obtain reliable and unbiased results. For this reason, users must use high-quality training and context data and develop clear and precise prompts.

The use of generative AI tools in the University must be in compliance with the principles, good practices and regulations in force on the protection of personal data and the privacy of individuals and information concerning them, and must ensure the confidentiality of research and administrative data.

The use of generative AI systems must take into account environmental and social impacts, optimising computational resources.