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VERSION:2.0
PRODID:https://github.com/derhansen/sf_event_mgt
METHOD:PUBLISH
BEGIN:VEVENT
UID:11647-8511@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\n\n\nContents:\n\n* Introduction\n\n* Basic principl
 es of how AI works\n\n* What can AI do and what can it not do?\n\n* Opport
 unities & risks\n\n* Examples\n\n* Differences between AI, search engines,
  databases, and traditional academic research\n\n* What does ethically app
 ropriate use of AI mean?\n\n* Areas of application of AI in an academic co
 ntext\n\n* Identifying and critically evaluating AI-generated content & in
 formation\n\n* Citation, plagiarism, and inappropriate use of AI\n\n\n\nLe
 arning Objectives:\n\nStudents…\n\n* can assess the relevance and use of
  AI in an academic context and evaluate its applicability to their own res
 earch and working practices\n\n* are aware of the ethical considerations i
 nvolved in working with artificial intelligence\n\n* understand the import
 ance of critically evaluating and verifying AI-generated information\n\n* 
 can correctly disclose/cite the use of AI in academic work
DTSTAMP:20261007T094037Z
DTSTART:20261125T090000Z
DTEND:20261125T110000Z
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