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UID:pretalx-sips2026-online-SPPLWH@pretalx.com
DTSTART;TZID=EST:20260506T083500
DTEND;TZID=EST:20260506T084000
DESCRIPTION:As Generative Artificial Intelligence (GenAI) rapidly reshapes 
 research practices\, responsible use requires core principles that remain 
 stable despite technological change. This lightning talk presents an eight
 -principle framework to guide the responsible use of GenAI in research. Th
 e framework was defined through an anonymised three-round Delphi consensus
  procedure with a panel of 16 international and multidisciplinary experts 
 in AI\, social sciences\, law\, ethics\, and scientific publishing. The ei
 ght sequential principles are: Regulations\, Data Security\, Quality Contr
 ol\, Originality\, Bias Mitigation\, Accountability\, Transparency\, and B
 roader Impact. Along with this framework\, the talk introduces a Shiny app
 -based checklist that helps researchers apply these principles in practice
  and generate a report that can be linked in a preregistration\, preprint\
 , or article.
DTSTAMP:20260619T081543Z
LOCATION:Track 1
SUMMARY:oLT2: Core Principles for Responsible Generative AI Use in Research
  - Tim-Dorian Knöchel
URL:https://pretalx.com/sips2026-online/talk/SPPLWH/
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