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VERSION:2.0
PRODID:https://github.com/derhansen/sf_event_mgt
METHOD:PUBLISH
BEGIN:VEVENT
UID:11609-8511@www.uni-passau.de
CLASS: PUBLIC
SUMMARY:AI in academic research: ethical use, plagiarism and transparent disclosure
DESCRIPTION:This course addresses the use of artificial intelligence in aca
 demic work and covers, among other things, general applications, opportuni
 ties, risks, and responsible and critically reflective approaches to its u
 se. In the context of AI literacy, the topic is examined from a fundamenta
 l perspective. Specific tools will neither be demonstrated nor covered as 
 part of the course.\n\nContents:\n\n* Introduction\n\n* Basic principles o
 f how AI works\n\n* What can AI do and what can it not do?\n\n* Opportunit
 ies & risks\n\n* Examples\n\n* Differences between AI, search engines, dat
 abases, and traditional academic research\n\n* What does ethically appropr
 iate use of AI mean?\n\n* Areas of application of AI in an academic contex
 t\n\n* Identifying and critically evaluating AI-generated content & inform
 ation\n\n* Citation, plagiarism, and inappropriate use of AI\n\nLearning O
 bjectives:\n\nStudents…\n\n* can assess the relevance and use of AI in a
 n academic context and evaluate its applicability to their own research an
 d working practices\n\n* are aware of the ethical considerations involved 
 in working with artificial intelligence\n\n* understand the importance of 
 critically evaluating and verifying AI-generated information\n\n* can corr
 ectly disclose/cite the use of AI in academic work
DTSTAMP:20260917T071802Z
DTSTART:20261125T090000Z
DTEND:20261125T110000Z
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