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X-WR-TIMEZONE:America/New_York
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BEGIN:VEVENT
DTSTART:20261023T140000Z
DTEND:20261023T160000Z
DTSTAMP:20261023T000000Z
SUMMARY:Beyond AI Slop: Responsible AI Use in Literature Reviews and Publishing (RCR)
DESCRIPTION:If AI can summarize hundreds of papers in seconds\, what’s 
 left for you (the researcher) to do? In this RCR session\, we’ll examine 
 the growing landscape of AI-generated scholarly content (including 
 so-called\, “AI slop”) and explore how it affects literature reviews 
 and scholarly publication. We’ll examine the limitations and biases that 
 generative AI can introduce or amplify (e.g. hallucinations\, sycophancy\, 
 and opaque provenance) and discuss practical strategies for avoiding them. 
 We’ll also discuss emerging publisher expectations regarding transparency 
 and disclosure of AI use by authors. As AI changes what expertise looks 
 like\, attendees will learn strategies for critically assessing 
 AI-generated outputs\, recognizing potential biases\, and making informed 
 decisions about when and how AI can be used responsibly in the research 
 process.\n\n    Learning Objectives: \n\n\n	Develop an awareness of how 
 AI-generated content is impacting scholarly literature\n	Practice 
 strategies for critically assessing AI-generated content for hallucination 
 and bias\n	Learn best practices and approaches to disclosing AI use in 
 research and writing\n\n\nZoom information will be sent via email to 
 registered attendees the day before. This workshop will not be recorded and 
 slides will not be distributed.\n\nThis workshop is eligible for 2 hours of 
 Graduate School RCR Credit (GS714). To receive RCR credit\, attendees will 
 be expected to attend the entire session and participate in interactive 
 learning activities throughout the session.
ORGANIZER;CN="Jenna Strawbridge":MAILTO:jenna.strawbridge@duke.edu
CATEGORIES:RCR Workshop
CONTACT;CN="Jenna Strawbridge":MAILTO:jenna.strawbridge@duke.edu
STATUS:CONFIRMED
UID:LibCal-17276739
URL:https://duke.libcal.com/event/17276739
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