This course addresses the use of artificial intelligence in academic work and covers, among other things, general applications, opportunities, risks, and responsible and critically reflective approaches to its use. In the context of AI literacy, the topic is examined from a fundamental perspective. Specific tools will neither be demonstrated nor covered as part of the course.
Contents:
* Introduction
* Basic principles of how AI works
* What can AI do and what can it not do?
* Opportunities & risks
* Examples
* Differences between AI, search engines, databases, and traditional academic research
* What does ethically appropriate use of AI mean?
* Areas of application of AI in an academic context
* Identifying and critically evaluating AI-generated content & information
* Citation, plagiarism, and inappropriate use of AI
Learning Objectives:
Students…
* can assess the relevance and use of AI in an academic context and evaluate its applicability to their own research and working practices
* are aware of the ethical considerations involved in working with artificial intelligence
* understand the importance of critically evaluating and verifying AI-generated information
* can correctly disclose/cite the use of AI in academic work
| Open to | all |
|---|---|
| Prior registration | required |
| Organised by | University Library |
| Event website | https://www.ub.uni-passau.de/en/tours-and-training/offers-for-students |
| Contact organizer of event | ubschulung@uni-passau.de |
