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SUMMARY:Debra Kean (DeVry University)
DTSTART:20261023T140000Z
DTEND:20261023T150000Z
DTSTAMP:20261026T214403Z
UID:research/13
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/research/13/
 ">Calculating chuckles: When algorithms go for laughs</a>\nby Debra Kean (
 DeVry University) as part of DVU Data Science Seminar Series\n\n\nAbstract
 \nI examine the intersection of artificial intelligence (AI)\, humor compr
 ehension\, and mathematics education through the lens of a recurring class
 room assignment. Over several years\, my students in a beginning algebra c
 ourse were asked to find and explain math jokes\, yielding a wide variety 
 of responses. However\, after I integrated AI into the assignment\, the di
 versity of jokes sharply declined\, with AI frequently repeating the same 
 well-known joke. Drawing on research and classroom experiments\, I explore
  the limitations of current AI models in processing and generating humor\,
  particularly puns\, in contrast to human performance. Case studies—incl
 uding AI's struggles with puns and cartoon caption contests—underscore A
 I's reliance on statistical patterns rather than genuine understanding. I 
 conclude that while AI can mimic humor's surface structure\, its deficienc
 ies are instructive: recognizing these limitations may help prevent overco
 nfident outputs and foster the development of more reliable\, emotionally 
 intelligent AI tools.\n
LOCATION:https://researchseminars.org/talk/research/13/
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