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UID:0-6569@eng.ufl.edu
DTSTART;TZID=America/New_York:20240321T093000
DTEND;TZID=America/New_York:20240321T103000
DTSTAMP:20240305T163414Z
URL:https://www.eng.ufl.edu/news-events/events/collaborative-colloquium-ta
 lk-series-dr-michal-kosinski/
SUMMARY:Collaborative Colloquium Talk Series: Dr. Michal Kosinski
DESCRIPTION:Biography of Speaker: Prof. Michal Kosinski is a Professor at S
 tanford University. His research interests encompass both human and artifi
 cial cognition. His current work centers on examining the psychological pr
 ocesses in Large Language Models (LLMs)\, and leveraging Artificial Intell
 igence (AI)\, Machine Learning (ML)\, and Big Data to model and predict hu
 man behavior. Michal has co-authored Modern Psychometrics (a popular textb
 ook) and published over 100 peer-reviewed papers in leading journals inclu
 ding Nature Scientific Reports\, Proceedings of the National Academy of Sc
 iences\, Psychological Science\, Journal of Personality and Social Psychol
 ogy\, and Machine Learning\, that have been cited over 21\,000 times. He i
 s among the Top 1% of the Highly Cited Researchers according to Clarivate.
  His research inspired a cover of The Economist\, a 2014 theatre play “P
 rivacy”\, multiple TED talks\, a video game\, and was discussed in thous
 ands of books\, press articles\, podcasts\, and documentaries. Michal was 
 behind the first press article warning against Cambridge Analytica. His re
 search exposed the privacy risks that they have exploited and measured the
  efficiency of their methods. He holds a doctorate in psychology from the 
 University of Cambridge and master's degrees in psychometrics and social p
 sychology. He worked as a post-doctoral scholar at Stanford's Computer Sci
 ence Department\, the Deputy Director of the University of Cambridge Psych
 ometrics Centre\, and a researcher at Microsoft Research (Machine Learning
  Group).\nTitle of the Talk: Emergent Cognitive Abilities in Large Languag
 e Models: Mirage\, Miracle\, or Mundane?\nAbstract: Large Language Models 
 (LLMs) trained to predict the next word in a sentence surprised their crea
 tors by displaying emergent properties ranging from a proclivity to be rac
 ist and sexist\, to an ability to write computer code\, translate between 
 languages\, and solve mathematical tasks. This talk discusses results of s
 everal studies evaluating LLMs performance on tasks typically used to stud
 y mental processes in humans. Findings indicate that with increases in mod
 el size and linguistic dexterity\, LLMs show a growing capacity to navigat
 e false-belief scenarios\, sidestep semantic illusions\, and tackle cognit
 ive reflection tasks. This talk will explore several possible interpretati
 ons of these findings\, including the intriguing possibility that theory o
 f mind and System 2 thinking may have spontaneously emerged as a byproduct
  of LLMs' improving language skills.
CATEGORIES:Seminars
LOCATION:Malachowsky Hall 7200\, 1889 Museum Road\, Gainesville\, Fl\, 3261
 1\, United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1889 Museum Road\, Gainesvi
 lle\, Fl\, 32611\, United States;X-APPLE-RADIUS=100;X-TITLE=Malachowsky Ha
 ll 7200:geo:0,0
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