academic_integrity
UNIGE says students and staff are personally responsible for their use of generative AI and for final validation of work or decisions generated or assisted by generative AI.
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University of Geneva currently has 10 source-backed claim records and 5 official source attributions. Latest tracked changed date: May 14, 2026.
This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
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10 claim records
UNIGE says students and staff are personally responsible for their use of generative AI and for final validation of work or decisions generated or assisted by generative AI.
UNIGE's generative AI principles require respecting applicable laws and paying particular attention to data protection, intellectual property, official secrecy, and confidentiality.
Within UNIGE's Faculty of Science, sensitive data such as personal data must not be disclosed to a public AI tool that does not guarantee confidentiality.
UNIGE states that it supports the development and use of artificial intelligence and uses generative AI where it represents an opportunity in research, teaching, learning, or administration.
Within UNIGE's Faculty of Science, a formal declaration of generative AI use is required for all bachelor's, master's, or doctoral work and for academic assessment or production leading to a degree or official title.
UNIGE states that faculties and interfaculty centers decide how AI is integrated into teaching and set specific conditions for using generative AI tools in research, teaching, and learning activities.
UNIGE formally expects full transparency about AI tool use in academic work through appropriate citation rules, with possible description of the methodology used with AI support.
Within UNIGE's Faculty of Science, teachers are free to allow or prohibit AI use in courses and assessed assignments, and must define the framework and referencing requirements when generative AI is permitted.
UNIGE guidance says academic work and learning assessment must include clear instructions about whether students may use generative AI tools, and that use of those tools must be supervised.
UNIGE's Digital University practical guide warns that content submitted to generative AI may be accessible to the tool owner or exposed in a data breach, so users need to understand what can and cannot be shared.
5 source attributions
official_policy_page checked May 14, 2026
official_guidance checked May 14, 2026
official_guidance checked May 14, 2026
official_guidance checked May 14, 2026
official_guidance checked May 14, 2026