General Policy

Statement on artificial intelligence

The University of Geneva (UNIGE) supports the development and use of artificial intelligence (AI). Above all, it sees it as an opportunity, based on the principle that the risks associated with it can be minimized through a responsible approach. UNIGE is aware that AI is not just a technological change, but is also bringing about major transformations in almost every field. These consequences call for global, interdisciplinary thinking to enable the UNIGE to respond as effectively as possible to these challenges within the framework of its missions.

  • UNIGE actively contributes to international AI research and promotes AI innovations that will benefit people and society. As a versatile institution, UNIGE is committed to the integration of AI within the various scientific disciplines.

  • As a university with strong links to the community, the UNIGE is involved in the societal transformation brought about by the rise of AI. As such, it supports critical and ethical reflection on AI and contributes to the debate on the impact of AI on society.

  • Within the University, generative AI is used wherever it represents an opportunity, whether in research, teaching, learning or administration. The UNIGE trains and supports its students and staff to enable them to acquire the skills needed to use these technologies in a critical and informed way. It innovates in terms of teaching methods and skills assessment.

At the UNIGE, the following principles apply to the use of generative AI in research, teaching and learning, and administration:

Responsibility

  • UNIGE students and staff are personally responsible for their use of generative AI.

  • It is necessary to have a basic understanding of the characteristics (i.e. probabilistic model) and risks inherent in generative AI (bias, hallucinations, personal data, etc.) before using it.

  • Users must be able to understand, judge and assess the validity of the responses produced by generative AI, so as not to become dependent on it.

  • The final validation of each text, image, video or other work or decision generated or assisted by a generative AI tool is the responsibility of the user.

Legality

  • Applicable laws must be respected, as well as any specific contractual clauses (i.e. publishing contracts).

  • Particular attention must be paid to data protection, copyright/intellectual property, official secrecy and confidentiality.

Academic integrity and transparency

  • In their scientific publications and creations, researchers and students are required to respect the rules and principles governing scientific integrity, in particular the prohibition of plagiarism, and to comply with good scientific practice.

  • In the context of non-scientific and public use, any text, image, video or other work that is predominantly generated or modified by generative AI should be clearly identified as such.

  • Employees are required to report the use of generative AI tools in the course of their duties to their superiors.

Economy and ecology

  • AI is only applied where it is relevant and its added value is proven.

  • Particular attention must be paid to the environmental impact of using generative AI tools (e.g. energy consumption).

A breach of UNIGE's principles cannot be blamed on the tool or a lack of awareness of the risks and problems associated with AI. Resources, guides and training courses are listed opposite to help the community understand and apply these principles.

It is up to faculties and interfaculty centers to decide how AI is to be integrated into their teaching activities, and to draw up specific conditions for the use of generative AI tools for research, teaching and learning activities. In particular, it is their responsibility to issue clear instructions for teaching activities and skills assessments, and to adapt the latter where necessary. The Rector's Office provides support in the development of the respective frameworks, promoting cross-functional exchanges and a common base to encourage harmonization of institutional practices.

This position paper is open-ended, and will be amended as technology and its implications for the university evolve.

1 July 2024