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SUMMARY:Using AI to understand what works in conservation and other storie
 s - Sam Reynolds\, Department of Zoology\, University of Cambridge
DTSTART:20250527T120000Z
DTEND:20250527T130000Z
UID:TALK232543@talks.cam.ac.uk
CONTACT:Henry North
DESCRIPTION:I know\, AI. Another person talking about AI. Everyone is mad 
 about AI\, but should they be? Surely using AI\, the infamous ‘black box
 ’ (not like in an aeroplane\, because those famously tell you everything
  that was going on quite clearly\, but more in a ‘I can’t see what’s
  going on in here!’ sense)\, undermines the scientific pillars of reprod
 ucibility and explainability? For this seminar\, all AI apathy is to be de
 posited in the box by the door.\n\n \n\nI plan to talk about a few things:
  Firstly\, the implications of AI in conservation\, based on the findings 
 of an AI horizon scan I conducted\; Secondly\, an insight into an exciting
  collaborative project with the Department of Computer Science on how we a
 re using large language models in the Conservation Evidence group to find 
 evidence of conservation actions\; and lastly\, how the publication of eve
 r larger numbers of convincing-fictitious academic papers represents an ex
 istential crisis for evidence synthesis\, for which it is currently woeful
 ly unprepared. Do we have an answer?
LOCATION:Part II Lecture Theatre\, Department of Zoology
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