
Supporting scientific progress and knowledge dissemination by adopting innovative technologies and models for their responsible application, the University of Rijeka advocates a responsible, ethical, open, transparent, and innovative approach to the usage of AI tools and other advanced digital technologies. In this framework, the University of Rijeka Council of Honor, at its session held on April 18, 2023, issued a Statement on the responsible usage of artificial intelligence tools, emphasizing the need for a constructive discussion about a responsible, ethical, and transparent usage of AI tools with the staff and students of the University, and welcoming all institutional and individual efforts towards the responsible usage of AI tools in learning and teaching, including their permitted, critical, and informed usage while respecting the highest ethical principles. Following this statement, in this policy document, adopted by the Senate, the University of Rijeka further elaborates the basic terms, defines the aims of AI tools usage in teaching and research, states the fundamental principles of their usage at the University, defines the activities of the University in this area as well as the stakeholders involved in these activities. Hence, the University expresses its determination to maximally use the advantages and potentials of new AI-based technologies, while at the same time taking into account the highest ethical standards by promoting continuous education and developing critical thinking of all included stakeholders.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
